Triple
T5242381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obelisk of Luxor |
E118373
|
entity |
| Predicate | erectionDate |
P1273
|
FINISHED |
| Object | 25 October 1836 |
—
|
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: 25 October 1836 | Statement: [Obelisk of Luxor, erectionDate, 25 October 1836]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erectionDate Context triple: [Obelisk of Luxor, erectionDate, 25 October 1836]
-
A.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
B.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
C.
dedicationDate
chosen
Indicates the date on which something (such as a building, monument, or work) is formally dedicated or inaugurated.
-
D.
inscriptionDate
Indicates the date on which an inscription was created, carved, or formally recorded.
-
E.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4c6fa8819099442b1b110e51fb |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.