Triple
T12761193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Trade Area of the Americas |
E304997
|
entity |
| Predicate | negotiationLanguage |
P18093
|
FINISHED |
| Object | English |
—
|
LITERAL 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: English | Statement: [Free Trade Area of the Americas, negotiationLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negotiationLanguage Context triple: [Free Trade Area of the Americas, negotiationLanguage, English]
-
A.
languageOfNegotiation
chosen
Indicates that a specified language is used as the medium of communication during a negotiation between parties.
-
B.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
C.
negotiationCountry
Indicates the country in which a negotiation takes place or with which the negotiation is formally associated.
-
D.
negotiationDirection
Indicates the direction or flow of a negotiation, specifying which party is initiating or driving the negotiation toward the other.
-
E.
negotiation
Indicates a process in which two or more parties communicate and make offers and counteroffers to reach a mutually acceptable agreement.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.