Triple
T1917934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jannat al-Baqi cemetery |
E40059
|
entity |
| Predicate | demolitionYearApprox |
P33141
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Jannat al-Baqi cemetery, demolitionYearApprox, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionYearApprox Context triple: [Jannat al-Baqi cemetery, demolitionYearApprox, 1925]
-
A.
destructionYear
Indicates the year in which an entity was destroyed or ceased to exist due to destructive events or actions.
-
B.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
C.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
D.
renovationYear
Indicates the year in which an entity underwent renovation or significant refurbishment.
-
E.
demolitionPeriod
Indicates the time span during which the demolition of an entity or structure takes place.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2107fe48190bafff825f1f805ad |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb1b180e481908bbe893d6ba6208b |
completed | March 7, 2026, 5:03 a.m. |
Created at: March 4, 2026, 7:35 p.m.