Triple
T6405025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union for the New Republic |
E144157
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
UNR
UNR is the abbreviation for the Union for the New Republic, a political party.
|
E589903
|
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: UNR | Statement: [Union for the New Republic, hasAbbreviation, UNR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNR Context triple: [Union for the New Republic, hasAbbreviation, UNR]
-
A.
UNI
UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
-
B.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
C.
UNA
UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
-
D.
UNAH
UNAH is the main public higher education institution in Honduras, known for its comprehensive academic programs and central role in the country’s research and professional training.
-
E.
UTA
UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
- 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: UNR Triple: [Union for the New Republic, hasAbbreviation, UNR]
Generated description
UNR is the abbreviation for the Union for the New Republic, a political party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UNR Target entity description: UNR is the abbreviation for the Union for the New Republic, a political party.
-
A.
UNI
UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
-
B.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
C.
UNA
UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
-
D.
UNAH
UNAH is the main public higher education institution in Honduras, known for its comprehensive academic programs and central role in the country’s research and professional training.
-
E.
UTA
UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b22c74819092228010708aec6b |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.