Triple
T18934410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrushabhadri |
E463203
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tirupati |
—
|
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: Tirupati | Statement: [Vrushabhadri, locatedIn, Tirupati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirupati Context triple: [Vrushabhadri, locatedIn, Tirupati]
-
A.
Tirupati
chosen
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.
-
B.
Nagarjunakonda
Nagarjunakonda is an important ancient Buddhist and archaeological site in Andhra Pradesh, India, known for its stupas, monasteries, and relics now partly submerged by a reservoir.
-
C.
Tirumala
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.
-
D.
Mangalagiri
Mangalagiri is a town in Andhra Pradesh, India, known for its historic temples and traditional handloom weaving.
-
E.
Kalingapatnam
Kalingapatnam is a historic coastal town in Andhra Pradesh, India, known for its former prominence as a maritime trading port of the ancient Kalinga region.
- 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.