Triple
T36595861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Accords |
E902795
|
entity |
| Predicate | hasLocationOfNegotiation |
P9604
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [New York Accords, hasLocationOfNegotiation, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationOfNegotiation Context triple: [New York Accords, hasLocationOfNegotiation, New York City]
-
A.
negotiationLocation
chosen
Indicates the place or setting where a negotiation or bargaining process takes or took place.
-
B.
negotiatedVia
Indicates that an agreement, deal, or arrangement was reached through the use of a specific intermediary, channel, or method of negotiation.
-
C.
positionOnNegotiations
Indicates the stance or viewpoint an entity holds regarding a particular negotiation or set of negotiations.
-
D.
negotiatesOver
Indicates that one entity engages in discussion or bargaining with another entity concerning the terms, conditions, or details of a specific subject or item.
-
E.
negotiationAssociatedWith
Indicates a relationship where a negotiation is connected to, involves, or is conducted by a particular entity (such as a person, organization, or group).
- F. None of above.
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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: May 3, 2026, 4:11 p.m.