Triple
T14937960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjar |
E372444
|
entity |
| Predicate | isInSeismicZone |
P38434
|
FINISHED |
| Object | earthquake-prone region of Kutch |
—
|
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: earthquake-prone region of Kutch | Statement: [Anjar, isInSeismicZone, earthquake-prone region of Kutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSeismicZone Context triple: [Anjar, isInSeismicZone, earthquake-prone region of Kutch]
-
A.
hasSeismicBehavior
Indicates that an entity exhibits or is characterized by a particular type or pattern of seismic activity or response.
-
B.
geologicalHazardZoneFor
Indicates a relationship where a specified area or zone is identified as being at risk from a particular geological hazard (such as earthquakes, landslides, or volcanic activity).
-
C.
earthquakeHazardLevel
Indicates the assessed degree of risk or potential impact from earthquakes associated with a given location or entity.
-
D.
relatedEarthquakeZone
chosen
Indicates that one entity is geographically or geologically associated with a particular earthquake-prone zone or seismic region.
-
E.
earthquakeResistance
Indicates how well an entity can withstand or remain functional during an earthquake without significant damage.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:38 a.m.