Triple
T4910631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Southeast Asia |
E110220
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object | Kaveripattinam |
E224929
|
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: Kaveripattinam | Statement: [India–Southeast Asia, majorPort, Kaveripattinam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaveripattinam Context triple: [India–Southeast Asia, majorPort, Kaveripattinam]
-
A.
Kaveripattinam
chosen
Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
-
B.
Nagapattinam
Nagapattinam is a historic port city on the southeastern coast of India that served as an important colonial trading center successively controlled by the Portuguese, Dutch, and British.
-
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.
Paramakudi
Paramakudi is a town in the Indian state of Tamil Nadu known as a regional commercial and transportation hub.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9acc0c819080b07e2e7924d163 |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c44e91881909513a679886cbdef |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:29 p.m.