Triple
T10337661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Temple at Abu Ghurab |
E243048
|
entity |
| Predicate | numberOfKnownOldKingdomSunTemples |
P43478
|
FINISHED |
| Object | six |
—
|
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: six | Statement: [Sun Temple at Abu Ghurab, numberOfKnownOldKingdomSunTemples, six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKnownOldKingdomSunTemples Context triple: [Sun Temple at Abu Ghurab, numberOfKnownOldKingdomSunTemples, six]
-
A.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
B.
numberOfArchaeologicalSites
Indicates the total count of archaeological sites associated with a given entity or context.
-
C.
hasTempleCount
chosen
Indicates that an entity is associated with a specified number of temples.
-
D.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
-
E.
lastMajorTempleClosed
Indicates the time or event at which the final significant temple associated with an entity was permanently closed.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:54 a.m.