Triple
T4582428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COP |
E101884
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | COP |
E101884
|
NE FINISHED |
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: COP | Statement: [COP, hasAbbreviation, COP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COP Context triple: [COP, hasAbbreviation, COP]
-
A.
COP
COP is the official currency code used internationally to represent the Colombian peso.
-
B.
COP
chosen
COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
-
C.
CoP
CoP is the commonly used abbreviation for the Conference of the Parties, the decision-making body of the CITES international wildlife trade agreement.
-
D.
COPA
COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
-
E.
COPA
COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59029568819091db1e77a9a2ec41 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde098a5a08190873cb0aaa04890a1 |
completed | March 21, 2026, 12:04 a.m. |
Created at: March 20, 2026, 1:10 p.m.