Triple
T7224218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Palace of Haiti |
E150335
|
entity |
| Predicate | postDestructionUse |
P43161
|
FINISHED |
| Object | site cleared after earthquake damage |
—
|
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: site cleared after earthquake damage | Statement: [Presidential Palace of Haiti, postDestructionUse, site cleared after earthquake damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postDestructionUse Context triple: [Presidential Palace of Haiti, postDestructionUse, site cleared after earthquake damage]
-
A.
afterDestruction
Indicates that one event, state, or condition occurs subsequent to and as a result of a prior act of destruction.
-
B.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
C.
siteUseAfterDemolition
chosen
Indicates the subsequent use or function assigned to a site following the demolition of its previous structures.
-
D.
purposeOfDestruction
Indicates that something is destroyed with the specific aim or intention of achieving a particular goal or outcome.
-
E.
preDestructionPopulation
Indicates the population size that existed immediately before a destructive event occurred.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.