Triple
T10177677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiruvarur |
E235894
|
entity |
| Predicate | hasNationalHighway |
P385
|
FINISHED |
| Object |
NH 32
NH 32 is a national highway in India that connects various towns and cities in Tamil Nadu, including Tiruvarur, facilitating regional road transport and trade.
|
E844857
|
NE FINISHED |
How this triple was built (4 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 32 | Statement: [Tiruvarur, hasNationalHighway, NH 32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH 32 Context triple: [Tiruvarur, hasNationalHighway, NH 32]
-
A.
NH 35
NH 35 is a major Indian National Highway that connects key cities and regions across the state of Uttar Pradesh.
-
B.
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.
-
C.
NH 44
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.
-
D.
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.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NH 32 Triple: [Tiruvarur, hasNationalHighway, NH 32]
Generated description
NH 32 is a national highway in India that connects various towns and cities in Tamil Nadu, including Tiruvarur, facilitating regional road transport and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NH 32 Target entity description: NH 32 is a national highway in India that connects various towns and cities in Tamil Nadu, including Tiruvarur, facilitating regional road transport and trade.
-
A.
NH 35
NH 35 is a major Indian National Highway that connects key cities and regions across the state of Uttar Pradesh.
-
B.
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.
-
C.
NH 44
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.
-
D.
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.
-
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. chosen
Provenance (5 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd4e3188190aa5d9ee95595f4a7 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3012d11488190a410d389034da887 |
completed | April 6, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d30256ee40819098569b37eb27d3d1 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302d248e08190b6b7bae9343b6f9a |
completed | April 6, 2026, 12:48 a.m. |
Created at: March 30, 2026, 9:11 p.m.