Triple
T12522081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benaulim Beach |
E299342
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Benaulim |
E986159
|
NE 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: Benaulim | Statement: [Benaulim Beach, locatedIn, Benaulim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benaulim Context triple: [Benaulim Beach, locatedIn, Benaulim]
-
A.
Benaulim
chosen
Benaulim is a tranquil coastal village in South Goa, India, known for its serene sandy beach, laid-back atmosphere, and fishing community.
-
B.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
C.
Kasauli
Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
-
D.
Manglaur
Manglaur is a town in the Haridwar district of Uttarakhand, India, known for its agricultural surroundings and local trade.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.