Triple
T38084009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léogâne commune |
E950925
|
entity |
| Predicate | earthquakeEpicenterOf |
P1939
|
FINISHED |
| Object | 2010 Haiti earthquake (approximate epicentral region) |
—
|
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: 2010 Haiti earthquake (approximate epicentral region) | Statement: [Léogâne commune, earthquakeEpicenterOf, 2010 Haiti earthquake (approximate epicentral region)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earthquakeEpicenterOf Context triple: [Léogâne commune, earthquakeEpicenterOf, 2010 Haiti earthquake (approximate epicentral region)]
-
A.
epicenter
chosen
Indicates the central point or focal location from which an event, influence, or effect originates or is most intensely experienced.
-
B.
locationDuringEarthquake
Indicates the place where an entity is situated at the time an earthquake occurs.
-
C.
earthquakeType
Indicates the specific classification or category of an earthquake based on its characteristics or cause.
-
D.
earthquakeMagnitude
Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
-
E.
seismicEvent
Indicates the occurrence of a naturally or artificially induced ground-shaking event, such as an earthquake or tremor, at a specific place and time.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.