Triple
T25197113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Latur earthquake |
E631029
|
entity |
| Predicate | worstAffectedVillage |
P158015
|
FINISHED |
| Object | Sastur |
—
|
NE NERFINISHED |
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: Sastur | Statement: [1993 Latur earthquake, worstAffectedVillage, Sastur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worstAffectedVillage Context triple: [1993 Latur earthquake, worstAffectedVillage, Sastur]
-
A.
worstAffectedVillage
chosen
Indicates that the village is the one most severely impacted or damaged in a given event or situation.
-
B.
hasLargestVillage
Indicates that one entity possesses or contains the village that is largest in size or population within a specified context or set.
-
C.
isVillageCenterOf
Indicates that a location functions as the central or main hub area of a specified village.
-
D.
numberOfDestroyedVillages
Indicates the count of villages that have been destroyed in the context of the described situation or event.
-
E.
isVillage
Indicates that the subject entity is classified as a village, typically a small human settlement or community.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b2cc98819080162547f198cc8c |
completed | May 1, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:50 p.m.