Triple
T18884410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1964 Rameswaram cyclone |
E461921
|
entity |
| Predicate | hitRegion |
P25846
|
FINISHED |
| Object | southern India |
—
|
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: southern India | Statement: [1964 Rameswaram cyclone, hitRegion, southern India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hitRegion Context triple: [1964 Rameswaram cyclone, hitRegion, southern India]
-
A.
hitOver
Indicates that one entity strikes or impacts another entity by moving over or across it.
-
B.
hitSingle
Indicates that a batter successfully hits the ball and reaches first base safely, recording a single.
-
C.
hardestHitRegion
Indicates the region that experienced the greatest impact or severity compared to all other regions.
-
D.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
E.
impactRegion
chosen
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3dcec8190a468162c6a4482f6 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:57 a.m.