Triple
T14738115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mylapore |
E346266
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Royapettah |
E817777
|
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: Royapettah | Statement: [Mylapore, borderedBy, Royapettah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royapettah Context triple: [Mylapore, borderedBy, Royapettah]
-
A.
Royapettah
chosen
Royapettah is a prominent commercial and residential neighborhood in central Chennai, India, known for its busy shopping areas, historic landmarks, and proximity to the city’s major business districts.
-
B.
Kent Ridge
Kent Ridge is a district in southwestern Singapore best known as the hillside area that houses the main campus of the National University of Singapore.
-
C.
Cinnamon Gardens
Cinnamon Gardens is an affluent, historically significant neighborhood in Colombo, Sri Lanka, known for its colonial-era architecture, major public institutions, and cultural landmarks.
-
D.
Kranji
Kranji is a largely rural area in northwestern Singapore known for its nature reserves, farms, and military memorials.
-
E.
Pettah
Pettah is a bustling commercial district in central Colombo, Sri Lanka, known for its crowded markets, wholesale trade, and vibrant street life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb90378481909a3083680f11101c |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.