Triple
T31976706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 铁山区 |
E816468
|
entity |
| Predicate | locatedInProvinceLevelRegion |
P20236
|
FINISHED |
| Object | 湖北省 |
E5772
|
NE 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: 湖北省 | Statement: [铁山区, locatedInProvinceLevelRegion, 湖北省]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInProvinceLevelRegion Context triple: [铁山区, locatedInProvinceLevelRegion, 湖北省]
-
A.
locatedInStateOrRegion
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
B.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
C.
hasProvinceOrRegion
Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
-
D.
isInProvince
chosen
Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
-
E.
positionWithinProvince
Indicates that one entity’s location lies inside the geographic or administrative boundaries of a specified province.
- F. None of above.
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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01e4ba62748190a4756689219b6269 |
completed | May 11, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eddd143708190b225bc9cade035c9 |
completed | June 14, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_6a01e3fc2d908190a075c7c1549e5640 |
completed | May 11, 2026, 2:13 p.m. |
Created at: May 1, 2026, 12:11 a.m.