Triple
T15400170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiruvallur district |
E368292
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Ambattur
Ambattur is a major industrial and residential suburb of Chennai in the Indian state of Tamil Nadu.
|
E1154952
|
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: Ambattur | Statement: [Tiruvallur district, hasMajorTown, Ambattur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambattur Context triple: [Tiruvallur district, hasMajorTown, Ambattur]
-
A.
Mudukulathur
Mudukulathur is a town in the Ramanathapuram district of Tamil Nadu, India, known for its role as a local administrative and commercial center.
-
B.
Tambaram
Tambaram is a suburban area of Chennai in Tamil Nadu, India, known as an important residential, educational, and transport hub.
-
C.
Battaramulla
Battaramulla is a rapidly developing suburb of Colombo in Sri Lanka, known for housing numerous government offices and administrative institutions.
-
D.
Vandalur
Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
-
E.
Udumalpet
Udumalpet is a town in western Tamil Nadu, India, known for its textile industry, wind farms, and proximity to the Anamalai Hills and several wildlife and nature attractions.
- 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: Ambattur Triple: [Tiruvallur district, hasMajorTown, Ambattur]
Generated description
Ambattur is a major industrial and residential suburb of Chennai in the Indian state of Tamil Nadu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambattur Target entity description: Ambattur is a major industrial and residential suburb of Chennai in the Indian state of Tamil Nadu.
-
A.
Mudukulathur
Mudukulathur is a town in the Ramanathapuram district of Tamil Nadu, India, known for its role as a local administrative and commercial center.
-
B.
Tambaram
Tambaram is a suburban area of Chennai in Tamil Nadu, India, known as an important residential, educational, and transport hub.
-
C.
Battaramulla
Battaramulla is a rapidly developing suburb of Colombo in Sri Lanka, known for housing numerous government offices and administrative institutions.
-
D.
Vandalur
Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
-
E.
Udumalpet
Udumalpet is a town in western Tamil Nadu, India, known for its textile industry, wind farms, and proximity to the Anamalai Hills and several wildlife and nature attractions.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff144af00481909191a2d33874c195 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff15ae7c9c81909fd0894e48e5b5b1 |
completed | May 9, 2026, 11:08 a.m. |
Created at: April 10, 2026, 3:19 a.m.