Triple
T33836984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 安定门 |
E867258
|
entity |
| Predicate | 与旧城关系 |
P15541
|
FINISHED |
| Object | 位于北京旧城北城墙线上 |
—
|
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: 位于北京旧城北城墙线上 | Statement: [安定门, 与旧城关系, 位于北京旧城北城墙线上]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 与旧城关系 Context triple: [安定门, 与旧城关系, 位于北京旧城北城墙线上]
-
A.
locatedInOldCity
chosen
Indicates that an entity is situated within the boundaries of an old or historic part of a city.
-
B.
refersToModernCity
Indicates that one entity is a reference to, or designation for, a contemporary city in the modern world.
-
C.
associatedWithFormerCity
Indicates a relationship where an entity is or was connected to a city that no longer exists in its former status or form (e.g., renamed, dissolved, or merged).
-
D.
hasOldCity
Indicates that an entity possesses or contains an old or historic city as part of its domain or structure.
-
E.
associatedWithCityHistory
Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7002f38308190af948b97a35a5b09 |
completed | May 3, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.