Triple
T31419743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bel of Palmyra |
E801495
|
entity |
| Predicate | templeDestroyedIn |
P171851
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Bel of Palmyra, templeDestroyedIn, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeDestroyedIn Context triple: [Bel of Palmyra, templeDestroyedIn, 2015]
-
A.
shrineDestroyedBy
Indicates that a shrine has been ruined, demolished, or otherwise destroyed as a result of the actions of a specified agent or cause.
-
B.
statusAfterTempleDestruction
Indicates the condition or state of an entity that applies specifically after the destruction of the temple.
-
C.
firstTempleDestroyedBy
Indicates that the specified agent or force is responsible for destroying the first temple associated with the given entity.
-
D.
secondTempleDestroyedBy
Indicates that the Second Temple was destroyed by the specified agent or cause.
-
E.
lastMajorTempleClosed
Indicates the time or event at which the final significant temple associated with an entity was permanently closed.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 8:47 p.m.