Triple
T18934428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrushabhadri |
E463203
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tirumala town |
—
|
NE NERFINISHED |
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: Tirumala town | Statement: [Vrushabhadri, near, Tirumala town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirumala town Context triple: [Vrushabhadri, near, Tirumala town]
-
A.
Tirumala
chosen
Tirumala is a prominent hill town in Andhra Pradesh, India, best known as the site of the revered Tirumala Venkateswara Temple, one of Hinduism’s most important pilgrimage destinations.
-
B.
Tirupati
Tirupati is a major pilgrimage city in the Indian state of Andhra Pradesh, best known for the Tirumala Venkateswara Temple dedicated to Lord Vishnu and revered as one of Hinduism’s holiest sites.
-
C.
Mangalagiri
Mangalagiri is a town in Andhra Pradesh, India, known for its historic temples and traditional handloom weaving.
-
D.
Tiptur
Tiptur is a town in the Indian state of Karnataka known for its coconut plantations and trade.
-
E.
Allagadda
Allagadda is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.