Triple
T20691867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CROP agencies |
E508571
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CROP |
—
|
NE NERFINISHED |
How this triple was built (2 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: CROP | Statement: [CROP agencies, abbreviation, CROP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CROP Context triple: [CROP agencies, abbreviation, CROP]
-
A.
CROP
chosen
CROP is a coordinating body that brings together key regional intergovernmental organizations in the Pacific to harmonize policies and development efforts across the region.
-
B.
Siembra
Siembra is a landmark 1978 salsa album by Rubén Blades and Willie Colón, renowned for its socially conscious lyrics and enduring influence on Latin music.
-
C.
Sowing
Sowing is the first book of Charles Dickens's novel "Hard Times," introducing the characters and themes through its focus on the planting of ideas and values that will later bear consequences.
-
D.
Ceriale
Ceriale is a coastal town and popular seaside resort in the Liguria region of northwestern Italy.
-
E.
Cornstalk
Cornstalk was an 18th-century Shawnee chief and skilled orator known for his leadership during conflicts with American colonists, including Lord Dunmore’s War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10eaccc819085320fffbb0aeceb |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:09 p.m.