Triple
T904007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Simbel temples |
E19505
|
entity |
| Predicate | firstEntranceClearedDate |
P20214
|
FINISHED |
| Object | 1817 |
—
|
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: 1817 | Statement: [Abu Simbel temples, firstEntranceClearedDate, 1817]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEntranceClearedDate Context triple: [Abu Simbel temples, firstEntranceClearedDate, 1817]
-
A.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
-
B.
firstSuccessfulLaunchDate
Indicates the calendar date on which an entity achieved its first successful launch.
-
C.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
D.
hasFirstUndisputedSurfaceArrivalDate
Indicates that there is a specific date on which an entity is recognized as having first arrived at a surface without dispute.
-
E.
firstRaisedAt
Indicates the initial time or context at which an issue, topic, or matter was first brought up or introduced.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.