Triple
T16075774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Tutankhamun |
E389975
|
entity |
| Predicate | hasChambersCount |
P1545
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Tomb of Tutankhamun, hasChambersCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChambersCount Context triple: [Tomb of Tutankhamun, hasChambersCount, 4]
-
A.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
B.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
C.
hasChamberNumber
Indicates that an entity is associated with a specific chamber identified by a particular number.
-
D.
hasChairCount
Indicates the number of chairs associated with a given entity.
-
E.
hasHigherChamber
Indicates that one legislative or decision-making body functions as the upper or more senior chamber relative to another within the same institutional structure.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.