Triple
T5777293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U cemetery, Umm el-Qaab, Abydos |
E127474
|
entity |
| Predicate | hasNumberOfTombs |
P51860
|
FINISHED |
| Object | over 70 tombs (approximate) |
—
|
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: over 70 tombs (approximate) | Statement: [U cemetery, Umm el-Qaab, Abydos, hasNumberOfTombs, over 70 tombs (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfTombs Context triple: [U cemetery, Umm el-Qaab, Abydos, hasNumberOfTombs, over 70 tombs (approximate)]
-
A.
hasApproximateNumberOfTombs
chosen
Indicates that an entity is associated with a tomb count that is approximate rather than exact.
-
B.
hasMausoleum
Indicates that one entity possesses, contains, or is associated with a mausoleum dedicated to another entity.
-
C.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
D.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
E.
numberOfBurials
Indicates the total count of burial events associated with a given 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.