Triple
T32853984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palghat |
E840326
|
entity |
| Predicate | distanceToThiruvananthapuram |
P205180
|
FINISHED |
| Object | about 340 kilometres |
—
|
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 340 kilometres | Statement: [Palghat, distanceToThiruvananthapuram, about 340 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToThiruvananthapuram Context triple: [Palghat, distanceToThiruvananthapuram, about 340 kilometres]
-
A.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
-
B.
distanceFromKottayam
Indicates the spatial distance between a given location and the place named Kottayam.
-
C.
distanceFrom Tiruchirappalli
Indicates the measured spatial distance between an entity and the location Tiruchirappalli.
-
D.
distanceFromKannurTown
Indicates the spatial distance between a given location and Kannur Town.
-
E.
distanceFromMangaluru_km
Indicates the distance, measured in kilometers, between a given place and Mangaluru.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:17 a.m.