Triple
T10780634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goa International Airport |
E254309
|
entity |
| Predicate | distanceFromPanaji |
P95432
|
FINISHED |
| Object | approximately 30 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: approximately 30 kilometres | Statement: [Goa International Airport, distanceFromPanaji, approximately 30 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPanaji Context triple: [Goa International Airport, distanceFromPanaji, approximately 30 kilometres]
-
A.
distanceToPandharpur
Indicates the measured or estimated spatial distance between a given location and the place Pandharpur.
-
B.
distanceFromMumbaiApproxKm
Indicates the approximate physical distance, measured in kilometers, between a given location and Mumbai.
-
C.
distanceFromMargao
Indicates the measured distance between a given location and Margao.
-
D.
distanceFromPortBlair
Indicates the measured distance between a given location and Port Blair.
-
E.
distanceFromBhavnagar
Indicates the spatial distance between a given entity or location and Bhavnagar.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c48c488190a2b3162202b74726 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.