Triple
T227123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAFTA |
E4335
|
entity |
| Predicate | createdOneOfLargest |
P9305
|
FINISHED |
| Object | free-trade zones in the world |
—
|
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: free-trade zones in the world | Statement: [NAFTA, createdOneOfLargest, free-trade zones in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdOneOfLargest Context triple: [NAFTA, createdOneOfLargest, free-trade zones in the world]
-
A.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
B.
createdPoliticalEntity
Indicates that an agent brought a political entity (such as a state, party, or organization) into existence or was responsible for its founding.
-
C.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
D.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
E.
heldTallestStructureTitleFrom
Indicates that an entity held the title of being the tallest structure for a specified time period starting from a given point.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.