Triple
T16869520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico–Central America Free Trade Agreement |
E410131
|
entity |
| Predicate | hasPredecessorType |
P125301
|
FINISHED |
| Object | bilateral free trade agreements |
—
|
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: bilateral free trade agreements | Statement: [Mexico–Central America Free Trade Agreement, hasPredecessorType, bilateral free trade agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPredecessorType Context triple: [Mexico–Central America Free Trade Agreement, hasPredecessorType, bilateral free trade agreements]
-
A.
hasPredecessorStructureFrom
Indicates that one structure existed or was established before another structure in a sequential or developmental order.
-
B.
hasPredecessorGeneration
Indicates that one generation directly precedes another in a temporal or genealogical sequence.
-
C.
hasNotableSuccessorType
Indicates that an entity has a successor whose type or category is considered notably significant or distinguished in relation to it.
-
D.
hasPredecessorRoleIn
Indicates that one role functioned earlier in time or sequence relative to another role within the same context or position.
-
E.
hasFormerType
Indicates that an entity previously had a certain type or classification that has since changed.
- F. None of above. chosen
Provenance (4 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50b85c08190b35d1c45ee0e9675 |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.