Triple
T29782645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phalodi |
E756164
|
entity |
| Predicate | recordedTemperatureNote |
P184378
|
FINISHED |
| Object | one of the highest temperatures recorded in 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: one of the highest temperatures recorded in India | Statement: [Phalodi, recordedTemperatureNote, one of the highest temperatures recorded in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedTemperatureNote Context triple: [Phalodi, recordedTemperatureNote, one of the highest temperatures recorded in India]
-
A.
recordedTemperatureType
Indicates the type or category of temperature that was recorded (e.g., air, surface, body, maximum, minimum).
-
B.
recordedTemperatureRegion
Indicates that a particular temperature measurement was recorded for or associated with a specific geographic region.
-
C.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
D.
recordedSurfaceTemperatureMeasurementMethod
Indicates the method or procedure used to obtain a recorded surface temperature measurement.
-
E.
recordedSurfaceTemperaturePeriod
Indicates the time span over which a surface temperature measurement was recorded.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 29, 2026, 5:06 p.m.