Triple
T21008934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śeṣa |
E517492
|
entity |
| Predicate | cultCenter |
P9995
|
FINISHED |
| Object | Srirangam |
—
|
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: Srirangam | Statement: [Śeṣa, cultCenter, Srirangam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srirangam Context triple: [Śeṣa, cultCenter, Srirangam]
-
A.
Srirangam
chosen
Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
-
B.
Darasuram
Darasuram is a town in Tamil Nadu, India, renowned for its UNESCO-listed Chola-era Airavatesvara Temple and rich Dravidian architectural heritage.
-
C.
Thirunindravur
Thirunindravur is a suburban town near Chennai in the Indian state of Tamil Nadu, known for its residential growth and historic temples.
-
D.
Karpagam
Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
-
E.
Suchindram
Suchindram is a temple town in Tamil Nadu, India, renowned for its historic Thanumalayan Temple dedicated to a unique combined form of the Hindu trinity.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3dcb5081909b06d6db10fefba6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.