Triple
T3039825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Benei Hezir |
E83097
|
entity |
| Predicate | numberOfBurialChambers |
P1545
|
FINISHED |
| Object | multiple burial chambers |
—
|
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: multiple burial chambers | Statement: [Tomb of Benei Hezir, numberOfBurialChambers, multiple burial chambers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBurialChambers Context triple: [Tomb of Benei Hezir, numberOfBurialChambers, multiple burial chambers]
-
A.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
B.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
C.
royalNecropolis
Indicates a burial place or cemetery specifically designated for royalty or members of a royal family.
-
D.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
E.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.