Triple
T14667910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halasuru Metro Station |
E344426
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Halasuru area |
E342837
|
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: Halasuru area | Statement: [Halasuru Metro Station, servesNeighborhood, Halasuru area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halasuru area Context triple: [Halasuru Metro Station, servesNeighborhood, Halasuru area]
-
A.
Halasuru
chosen
Halasuru is a historic neighborhood in eastern Bengaluru, India, known for its temples, markets, and proximity to Ulsoor Lake.
-
B.
Chapa Dara area
The Chapa Dara area is a locality in eastern Afghanistan situated along the Pech River, known for its rugged terrain and strategic significance in Kunar Province.
-
C.
Bambolim area
Bambolim area is a locality in Goa, India, known for hosting major institutions and facilities such as Goa Medical College and being situated near the state capital, Panaji.
-
D.
Harohalli
Harohalli is a town in the Indian state of Karnataka, known for its industrial area and proximity to Bengaluru.
-
E.
Dedugala area
Dedugala area is a locality within Sri Lanka’s Sabaragamuwa Province, known for its rural setting and proximity to the region’s forested hills and waterfalls.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e9bb2081908515ab6430e9b1c2 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.