Triple
T37397144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chunnambar Boat House |
E928884
|
entity |
| Predicate | distanceFromPuducherry |
P205880
|
FINISHED |
| Object | about 7 kilometers |
—
|
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 7 kilometers | Statement: [Chunnambar Boat House, distanceFromPuducherry, about 7 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPuducherry Context triple: [Chunnambar Boat House, distanceFromPuducherry, about 7 kilometers]
-
A.
distanceFromChennai
Indicates the spatial distance between a given entity or location and the city of Chennai.
-
B.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
-
C.
distanceFrom Tiruchirappalli
Indicates the measured spatial distance between an entity and the location Tiruchirappalli.
-
D.
distanceFromChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Chandigarh.
-
E.
distanceToChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Chandigarh.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.