Triple
T3197954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Museum, Chennai |
E66977
|
entity |
| Predicate | locatedInArea |
P40
|
FINISHED |
| Object |
Egmore
Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
|
E336211
|
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: Egmore | Statement: [Government Museum, Chennai, locatedInArea, Egmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egmore Context triple: [Government Museum, Chennai, locatedInArea, Egmore]
-
A.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
B.
Shortlands
Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Gregory Town
Gregory Town is a small coastal community on the Bahamian island of Eleuthera, known for its pineapple farming heritage and scenic beaches.
-
E.
Inner Ward
The Inner Ward is the central fortified enclosure of the Tower of London, containing many of its principal historic buildings and serving as the core of the medieval castle complex.
- 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: Egmore Triple: [Government Museum, Chennai, locatedInArea, Egmore]
Generated description
Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egmore Target entity description: Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
-
A.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
B.
Shortlands
Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Gregory Town
Gregory Town is a small coastal community on the Bahamian island of Eleuthera, known for its pineapple farming heritage and scenic beaches.
-
E.
Inner Ward
The Inner Ward is the central fortified enclosure of the Tower of London, containing many of its principal historic buildings and serving as the core of the medieval castle complex.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7192994819084817307065a25e2 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bbdc9908190b5d8328f6fbc6002 |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b25034bc4481909c860099cc1aa311 |
completed | March 12, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b251458ab48190a374f910103763f2 |
completed | March 12, 2026, 5:38 a.m. |
Created at: March 8, 2026, 3:07 p.m.