Triple
T1764960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoa Lo Prison |
E38740
|
entity |
| Predicate | partiallyDemolished |
P23714
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Hoa Lo Prison, partiallyDemolished, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyDemolished Context triple: [Hoa Lo Prison, partiallyDemolished, 1990s]
-
A.
partiallyDestroyed
chosen
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
partlyDismantledBy
Indicates that an entity has been only partially taken apart, removed, or deconstructed by another agent or process.
-
C.
partiallyDemolishedInCentury
Indicates that an entity was only partly demolished during a specified century, rather than being completely destroyed.
-
D.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
-
E.
demolishedOriginalStructures
Indicates that one entity has completely destroyed or removed the original structures associated with another entity.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.