Triple
T5777274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U cemetery, Umm el-Qaab, Abydos |
E127474
|
entity |
| Predicate | tombU-jSignificance |
P66392
|
FINISHED |
| Object | one of the earliest large elite tombs in Egypt |
—
|
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: one of the earliest large elite tombs in Egypt | Statement: [U cemetery, Umm el-Qaab, Abydos, tombU-jSignificance, one of the earliest large elite tombs in Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tombU-jSignificance Context triple: [U cemetery, Umm el-Qaab, Abydos, tombU-jSignificance, one of the earliest large elite tombs in Egypt]
-
A.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
B.
tombOwnership
Indicates a relationship in which one entity holds legal or traditional ownership rights over a specific tomb.
-
C.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
D.
tombFinancedBy
Indicates that the construction, maintenance, or creation of a tomb was paid for or financially supported by a specified agent or source.
-
E.
timeInTomb
Indicates the duration that an entity remains or has remained inside a tomb.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:50 p.m.