Triple
T14588060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosur Road |
E342368
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Electronics City Phase II |
E68085
|
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: Electronics City Phase II | Statement: [Hosur Road, servesArea, Electronics City Phase II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Electronics City Phase II Context triple: [Hosur Road, servesArea, Electronics City Phase II]
-
A.
Electronics City
chosen
Electronics City is a major technology and industrial hub in Bengaluru, India, known for housing numerous IT companies and electronics manufacturing units.
-
B.
Oberoi Mall
Oberoi Mall is a prominent shopping and entertainment complex located in the Goregaon suburb of Mumbai, India.
-
C.
DLF Mega Mall
DLF Mega Mall is a prominent multi-level shopping and entertainment complex in Gurugram, India, featuring retail stores, dining options, and a multiplex cinema.
-
D.
Hardware City
Hardware City is the nickname of New Britain, Connecticut, historically known for its prominent hardware manufacturing industry.
-
E.
Aeon Mall
Aeon Mall is a Japanese chain of large-scale shopping malls offering a wide range of retail, dining, and entertainment facilities across Asia.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c79c488190a134d2b0435e899e |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:24 a.m.