Triple
T32140263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Managua earthquake of 1972 |
E820881
|
entity |
| Predicate | percentageCityDestroyed |
P176051
|
FINISHED |
| Object | about 90 percent of city center |
—
|
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: about 90 percent of city center | Statement: [Managua earthquake of 1972, percentageCityDestroyed, about 90 percent of city center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageCityDestroyed Context triple: [Managua earthquake of 1972, percentageCityDestroyed, about 90 percent of city center]
-
A.
buildingsDamagedOrDestroyedPercentage
Indicates the proportion of buildings that have been damaged or completely destroyed relative to the total number of buildings in the relevant area or set.
-
B.
mainCityDestroyed
Indicates that the primary or central city associated with an entity has been destroyed.
-
C.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
-
D.
numberOfDistrictsDestroyed
Indicates the quantity of districts that have been destroyed in a given context or event.
-
E.
buildingsDestroyed
Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 12:30 a.m.