Triple
T9418514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-China Federation of Trade Unions |
E227089
|
entity |
| Predicate | largestTradeUnionCenter |
P89041
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [All-China Federation of Trade Unions, largestTradeUnionCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestTradeUnionCenter Context triple: [All-China Federation of Trade Unions, largestTradeUnionCenter, true]
-
A.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
B.
isPrimaryPoliticalHubOf
Indicates that a location serves as the main center of political authority, administration, or governance for the referenced entity.
-
C.
largestCommunityIn
Indicates that one community is the largest (by some defined measure, such as population or size) among all communities within a given area or entity.
-
D.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
E.
hasPopulationCenter
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca9d07eb08190866eb15333386dfa |
completed | April 1, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:48 p.m.