Triple
T3357956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HITEC City |
E70649
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Cyberabad |
E70266
|
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: Cyberabad | Statement: [HITEC City, partOf, Cyberabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyberabad Context triple: [HITEC City, partOf, Cyberabad]
-
A.
Cyberabad
chosen
Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
-
B.
Mahanagar
Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
-
C.
Shehri
Shehri is a Modern South Arabian language spoken primarily by indigenous communities in southern Oman and parts of eastern Yemen.
-
D.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
-
E.
Bogo City
Bogo City is a component city in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding rural municipalities.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253e91988190bbfdafdf88ab0df1 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.