Triple
T7679375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 44 |
E173948
|
entity |
| Predicate | formerDesignation |
P12531
|
FINISHED |
| Object | NH 26 |
E109106
|
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: NH 26 | Statement: [National Highway 44, formerDesignation, NH 26]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH 26 Context triple: [National Highway 44, formerDesignation, NH 26]
-
A.
NH 65
NH 65 is a major National Highway in India that runs east–west, connecting the states of Maharashtra, Karnataka, Telangana, and Andhra Pradesh.
-
B.
NH 544
NH 544 is a major Indian National Highway in southern India that connects key cities in Tamil Nadu and Kerala, serving as an important route for regional trade and travel.
-
C.
NH 37
NH 37 is a former designation for a major Indian national highway that runs across the state of Assam, connecting key cities and towns in the region.
-
D.
NH 44
chosen
NH 44 is one of India’s longest and most important national highways, running north–south across multiple states and connecting major cities from Srinagar to Kanyakumari.
-
E.
NH 47
NH 47 is a major Indian national highway that connects key cities and regions across the southern part of the country.
- 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_69c8a248750481908f0de08aee78c9ba |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.