Triple
T7679358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 44 |
E173948
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Adilabad |
E485560
|
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: Adilabad | Statement: [National Highway 44, connectsCity, Adilabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adilabad Context triple: [National Highway 44, connectsCity, Adilabad]
-
A.
Mahbubnagar
Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
-
B.
Adilabad district
chosen
Adilabad district is an administrative region in the northern part of Telangana, India, known for its significant tribal population, forests, and cultural diversity.
-
C.
Khammam
Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru River.
-
D.
Jangaon
Jangaon is a town and municipal center in the Indian state of Telangana, known for its location along key road and rail routes between Hyderabad and Warangal.
-
E.
Nizamabad district
Nizamabad district is an administrative region in the Indian state of Telangana, known for its agricultural economy, historical sites, and reliance on river-based irrigation.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4fa4f9c8190a1cd2c1aa173296d |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:01 p.m.