Triple
T11677348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassein |
E277526
|
entity |
| Predicate | distanceFromMumbai |
P74678
|
FINISHED |
| Object | about 50 km north |
—
|
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 50 km north | Statement: [Bassein, distanceFromMumbai, about 50 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMumbai Context triple: [Bassein, distanceFromMumbai, about 50 km north]
-
A.
distanceFromMumbaiApproxKm
chosen
Indicates the approximate physical distance, measured in kilometers, between a given location and Mumbai.
-
B.
distanceFromKolkata
Indicates the spatial distance between a given location and the city of Kolkata.
-
C.
distanceFromBangalore
Indicates the spatial distance separating a given entity or location from Bangalore.
-
D.
distanceFromBengaluru
Indicates the measured spatial distance between a given entity’s location and the city of Bengaluru.
-
E.
distanceFromChennai
Indicates the spatial distance between a given entity or location and the city of Chennai.
- F. None of above.
Provenance (3 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.