Triple
T3246663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namma Metro |
E68080
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Peenya depot
Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
|
E340580
|
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: Peenya depot | Statement: [Namma Metro, depot, Peenya depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peenya depot Context triple: [Namma Metro, depot, Peenya depot]
-
A.
Ukkadam Bus Terminus
Ukkadam Bus Terminus is a major bus station and transport hub serving city and intercity routes in Coimbatore, Tamil Nadu, India.
-
B.
Dhanyawadi
Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
-
C.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
-
D.
Anand Bhavan
Anand Bhavan is a historic mansion in Prayagraj, India, that served as the ancestral home of the Nehru family and an important center of the Indian independence movement.
-
E.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
- 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: Peenya depot Triple: [Namma Metro, depot, Peenya depot]
Generated description
Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peenya depot Target entity description: Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
-
A.
Ukkadam Bus Terminus
Ukkadam Bus Terminus is a major bus station and transport hub serving city and intercity routes in Coimbatore, Tamil Nadu, India.
-
B.
Dhanyawadi
Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
-
C.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
-
D.
Anand Bhavan
Anand Bhavan is a historic mansion in Prayagraj, India, that served as the ancestral home of the Nehru family and an important center of the Indian independence movement.
-
E.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1c184c8190a43a3594decd0920 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b277639508819091390086a3c511d1 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2786c6bc88190bea732592426776d |
completed | March 12, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27927308c81909c1dceb825eb1b81 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:09 p.m.