Triple
T7484352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Environmental Assessment and Restoration |
E176841
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DEAR
DEAR is a governmental environmental division focused on assessing, monitoring, and restoring natural ecosystems and resources.
|
E667058
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DEAR | Statement: [Division of Environmental Assessment and Restoration, abbreviation, DEAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEAR Context triple: [Division of Environmental Assessment and Restoration, abbreviation, DEAR]
-
A.
Dearest
Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
-
B.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
C.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
D.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
-
E.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DEAR Triple: [Division of Environmental Assessment and Restoration, abbreviation, DEAR]
Generated description
DEAR is a governmental environmental division focused on assessing, monitoring, and restoring natural ecosystems and resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DEAR Target entity description: DEAR is a governmental environmental division focused on assessing, monitoring, and restoring natural ecosystems and resources.
-
A.
Dearest
Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
-
B.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
C.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
D.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
-
E.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53a6bc081909f4b9cd7cdacf045 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8349d83cc8190af98c3212e28e913 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835916e948190ad5789e4611f8842 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83635c7888190834f02e7ea0f1ab5 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:42 p.m.