Triple
T27497479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbatore city bus network |
E694054
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Sathyamangalam Road corridor
The Sathyamangalam Road corridor is a major arterial route in Tamil Nadu that serves as a key link between Coimbatore and the town of Sathyamangalam, carrying significant regional and urban traffic.
|
E1785260
|
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: Sathyamangalam Road corridor | Statement: [Coimbatore city bus network, connectsTo, Sathyamangalam Road corridor]
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: Sathyamangalam Road corridor Triple: [Coimbatore city bus network, connectsTo, Sathyamangalam Road corridor]
Generated description
The Sathyamangalam Road corridor is a major arterial route in Tamil Nadu that serves as a key link between Coimbatore and the town of Sathyamangalam, carrying significant regional and urban traffic.
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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ec0087c819092b5a19c4bf6a3d0 |
completed | May 2, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12e43b1f588190b6af8c897a18c4da |
completed | May 24, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a12e4da65dc8190801cafed5fb95685 |
completed | May 24, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12e5acc5c8819081be9900ea407d65 |
completed | May 24, 2026, 11:49 a.m. |
Created at: April 27, 2026, 1:09 p.m.