Triple
T25695470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombs of the Kings |
E644309
|
entity |
| Predicate | actualStatusOfBurials |
P44130
|
FINISHED |
| Object | no evidence of royal burials |
—
|
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: no evidence of royal burials | Statement: [Tombs of the Kings, actualStatusOfBurials, no evidence of royal burials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actualStatusOfBurials Context triple: [Tombs of the Kings, actualStatusOfBurials, no evidence of royal burials]
-
A.
burialStatus
chosen
Indicates the state or condition of whether and how an entity has been buried.
-
B.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
C.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
D.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
E.
burialsUntil
Indicates the number of burial events that remain or are scheduled to occur up to a specified point in time or condition.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fbc4327c819090506ac08479faca |
completed | May 2, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 8:34 p.m.