Triple
T37397145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chunnambar Boat House |
E928884
|
entity |
| Predicate | directionFromPuducherry |
P197150
|
FINISHED |
| Object | south |
—
|
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: south | Statement: [Chunnambar Boat House, directionFromPuducherry, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromPuducherry Context triple: [Chunnambar Boat House, directionFromPuducherry, south]
-
A.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
-
B.
distanceFromChennai
Indicates the spatial distance between a given entity or location and the city of Chennai.
-
C.
distanceFromPortBlair
Indicates the measured distance between a given location and Port Blair.
-
D.
directionFromLeh
Indicates the directional relationship of an entity or location as measured or described relative to Leh.
-
E.
returnedToPondicherry
Indicates that an entity has gone back to Pondicherry after having been away.
- 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_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: May 3, 2026, 4:16 p.m.