Triple
T21182103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of Cao |
E521975
|
entity |
| Predicate | graveGoods |
P46542
|
FINISHED |
| Object | ceremonial weapons |
—
|
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: ceremonial weapons | Statement: [Lady of Cao, graveGoods, ceremonial weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graveGoods Context triple: [Lady of Cao, graveGoods, ceremonial weapons]
-
A.
hasGraveGoods
chosen
Indicates that a burial or grave contains associated objects or goods placed with the deceased.
-
B.
formerGraveOf
Indicates that a location once served as the grave of an entity, but no longer does (e.g., the remains have been moved or the grave has been removed).
-
C.
plunderedItem
Indicates that an item has been taken or looted by force, typically during a raid, conflict, or act of theft.
-
D.
notableRelic
Indicates that an entity is a historically or culturally significant relic associated with another entity (such as a place, person, or event).
-
E.
buriedWith
Indicates that one entity is interred in the same grave, tomb, or burial site as 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:04 p.m.