Triple
T24605449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haitian Parliament Building |
E608953
|
entity |
| Predicate | preDestructionUse |
P67100
|
FINISHED |
| Object | seat of Haiti’s bicameral National Assembly |
—
|
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: seat of Haiti’s bicameral National Assembly | Statement: [Haitian Parliament Building, preDestructionUse, seat of Haiti’s bicameral National Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preDestructionUse Context triple: [Haitian Parliament Building, preDestructionUse, seat of Haiti’s bicameral National Assembly]
-
A.
preDestructionPopulation
Indicates the population size that existed immediately before a destructive event occurred.
-
B.
afterDestruction
Indicates that one event, state, or condition occurs subsequent to and as a result of a prior act of destruction.
-
C.
functionBeforeDestruction
chosen
Indicates that one function or operation occurs prior in time to a specified destruction event.
-
D.
possiblyDestroyedIn
Indicates that an entity may have been destroyed during or as a result of a specified event or situation.
-
E.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.