Triple
T9692797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天安门 |
E234574
|
entity |
| Predicate | 政治功能 |
P4853
|
FINISHED |
| Object | 重大政治活动场所的背景建筑 |
—
|
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: 重大政治活动场所的背景建筑 | Statement: [天安门, 政治功能, 重大政治活动场所的背景建筑]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政治功能 Context triple: [天安门, 政治功能, 重大政治活动场所的背景建筑]
-
A.
politicalFunction
chosen
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
B.
politicalControl
Indicates that one entity holds governing authority, influence, or decision-making power over the political actions or structure of another entity.
-
C.
governmentalFunction
Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
-
D.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
-
E.
politicalGoal
Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.