Triple
T32100813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Wen of Zhou |
E819842
|
entity |
| Predicate | ancestralTempleName |
P44027
|
FINISHED |
| Object | Shizu |
—
|
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: Shizu | Statement: [King Wen of Zhou, ancestralTempleName, Shizu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ancestralTempleName Context triple: [King Wen of Zhou, ancestralTempleName, Shizu]
-
A.
templeName
chosen
Indicates that an entity is identified by or associated with the name of a temple.
-
B.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
C.
associatedTemple
Indicates a relationship where one entity is linked or connected to a particular temple, typically as its relevant or related religious site.
-
D.
shrineName
Indicates that an entity has the specified name of a shrine.
-
E.
isNumberedTempleOf
Indicates that one entity is a specific, designated temple identified by a particular number within a series or system associated with 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b695bb248190b53b8056dbcf6b55 |
completed | May 3, 2026, 2:44 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:26 a.m.