Triple
T22401957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaikal Port |
E553781
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cuddalore |
—
|
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: Cuddalore | Statement: [Karaikal Port, near, Cuddalore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuddalore Context triple: [Karaikal Port, near, Cuddalore]
-
A.
Cuddalore
chosen
Cuddalore is a coastal city in the Indian state of Tamil Nadu, known historically as a significant trading and port center on the Bay of Bengal.
-
B.
Ramanathapuram district
Ramanathapuram district is a coastal district in the state of Tamil Nadu, India, known for its historic towns, fishing communities, and proximity to the pilgrimage island of Rameswaram.
-
C.
Thoothukudi
Thoothukudi is a major port city in southern India known for its shipping, industrial activities, and salt production.
-
D.
Kancheepuram
Kancheepuram is a historic temple city in the Indian state of Tamil Nadu, renowned for its ancient Hindu shrines and exquisite handwoven silk sarees.
-
E.
Thoothukudi district
Thoothukudi district is a coastal district in the southern Indian state of Tamil Nadu, known for its port city of Thoothukudi (Tuticorin), salt pans, and industrial activities.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.