Triple
T28027268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Askari Shrine |
E708157
|
entity |
| Predicate | minaretsDestroyedOnDate |
P163639
|
FINISHED |
| Object | 2007-06-13 |
—
|
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: 2007-06-13 | Statement: [al-Askari Shrine, minaretsDestroyedOnDate, 2007-06-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minaretsDestroyedOnDate Context triple: [al-Askari Shrine, minaretsDestroyedOnDate, 2007-06-13]
-
A.
secondTempleDestructionDate
Indicates the date on which the Second Temple in Jerusalem was destroyed.
-
B.
firstBuildingDestructionDate
Indicates the date on which the first instance of a building’s destruction occurred in the given context or sequence of events.
-
C.
landmarksDestroyed
Indicates that certain notable or significant physical landmarks have been damaged or completely destroyed.
-
D.
firstTempleDestructionDate
Indicates the date on which the First Temple was destroyed.
-
E.
secondBuildingDateOfDestruction
Indicates the date on which a building was destroyed for the second time.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c6ef4348190821f991c682a6894 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 8:13 p.m.