Triple
T34943306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宝塔山 |
E1007785
|
entity |
| Predicate | 在中国革命历史中的地位 |
P107990
|
FINISHED |
| Object | 象征中国革命圣地延安 |
—
|
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: 象征中国革命圣地延安 | Statement: [宝塔山, 在中国革命历史中的地位, 象征中国革命圣地延安]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在中国革命历史中的地位 Context triple: [宝塔山, 在中国革命历史中的地位, 象征中国革命圣地延安]
-
A.
解放战争时期职务
Indicates the position or official role a person held during the Chinese Liberation War period.
-
B.
positionOnChineseCivilWar
Indicates a stance or alignment an entity holds regarding the Chinese Civil War, such as support for a particular side, neutrality, or opposition.
-
C.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
D.
hasHistoricSignificanceFor
Indicates that something holds notable historical importance or relevance for a particular entity or group.
-
E.
hasRevolutionaryHeritage
chosen
Indicates that an entity possesses a background, lineage, or history closely connected to revolutionary movements, activities, or figures.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.