Triple
T28075661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shouchun |
E709533
|
entity |
| Predicate | predecessorCapitalOfChu |
P14662
|
FINISHED |
| Object | Ying |
—
|
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: Ying | Statement: [Shouchun, predecessorCapitalOfChu, Ying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorCapitalOfChu Context triple: [Shouchun, predecessorCapitalOfChu, Ying]
-
A.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
B.
predecessorCityName
Indicates that the value is the name of the city that previously held a given role, status, or position before the current city.
-
C.
historicalEntityPredecessor
chosen
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
D.
predecessorCapitalOfSong
Indicates that one capital city served as the capital of a political entity immediately before another capital city mentioned in the song.
-
E.
predecessorAsSupremeRuler
Indicates that one entity previously held the position of supreme ruler immediately before another entity.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 8:48 p.m.