Triple
T4871932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudaliyandan |
E109104
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Srirangam |
E65900
|
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: Srirangam | Statement: [Mudaliyandan, associatedWithPlace, Srirangam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srirangam Context triple: [Mudaliyandan, associatedWithPlace, 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.
Kaveripattinam
Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
-
C.
Swamimalai
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
D.
Kumbakonam
Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
-
E.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9e27908190a0c4540ee2559c4b |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89d9e6688190b8a8ad3137148e50 |
completed | March 21, 2026, 12:06 p.m. |
Created at: March 20, 2026, 1:27 p.m.