Triple
T29815135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese civilization |
E757084
|
entity |
| Predicate | countryCore |
P199369
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [Chinese civilization, countryCore, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCore Context triple: [Chinese civilization, countryCore, China]
-
A.
countryMusicClassic
Indicates that something is recognized as a classic work or exemplar within the genre of country music.
-
B.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
countryTheme
Indicates that something is associated with or represents a thematic focus on a particular country.
-
D.
country music film},{
Indicates a film whose primary theme, content, or setting is centered around country music.
-
E.
HankWilliamsVersionGenre
Indicates that a particular version or recording by Hank Williams belongs to a specified musical genre.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
| PDg | Predicate description generation | batch_69ff32b6dd448190a7a6ebb76b99d4cc |
completed | May 9, 2026, 1:12 p.m. |
Created at: April 29, 2026, 5:26 p.m.