Triple

T26840409
Position Surface form Disambiguated ID Type / Status
Subject Mettupalayam E675760 entity
Predicate roadHighway P1019 FINISHED
Object National Highway 181
National Highway 181 is a major Indian roadway that connects Mettupalayam in Tamil Nadu to key destinations in the Nilgiris and beyond, facilitating regional transport and tourism.
 E2297676 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: National Highway 181 | Statement: [Mettupalayam, roadHighway, National Highway 181]
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: National Highway 181
Triple: [Mettupalayam, roadHighway, National Highway 181]
Generated description
National Highway 181 is a major Indian roadway that connects Mettupalayam in Tamil Nadu to key destinations in the Nilgiris and beyond, facilitating regional transport and tourism.

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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b46b20481908ee866c36e4cdd7b completed May 2, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83c0bb2a148190b3e9b7f570a5da3a completed Aug. 18, 2026, 2:17 a.m.
NEDg Description generation batch_6a83c19a154081908303097c65b08b27 completed Aug. 18, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a83c1f1ba3c81908a8bf5fb6fc78598 completed Aug. 18, 2026, 2:22 a.m.
Created at: April 27, 2026, 5:07 a.m.