Triple
T29125046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis Yi of Zeng |
E738199
|
entity |
| Predicate | tombContains |
P69431
|
FINISHED |
| Object | set of 65 bronze bells |
—
|
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: set of 65 bronze bells | Statement: [Marquis Yi of Zeng, tombContains, set of 65 bronze bells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tombContains Context triple: [Marquis Yi of Zeng, tombContains, set of 65 bronze bells]
-
A.
foundInTomb
Indicates that an object or entity was discovered within a specific tomb or burial site.
-
B.
tombLocatedIn
Indicates that a particular tomb is situated within or at a specified location or place.
-
C.
tombCondition
Indicates the physical state or preservation status of a tomb, such as whether it is intact, damaged, restored, or deteriorated.
-
D.
tombContents
chosen
Indicates that a tomb contains or holds specific items, remains, or artifacts within it.
-
E.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622916088190a3cd63ade671d3ad |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:27 a.m.