Triple
T18550166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keelakarai |
E453350
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Mandapam |
—
|
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: Mandapam | Statement: [Keelakarai, locatedNear, Mandapam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandapam Context triple: [Keelakarai, locatedNear, Mandapam]
-
A.
Mandapam
chosen
Mandapam is a coastal town in Tamil Nadu, India, known as a gateway to Rameswaram and for its fishing and marine activities.
-
B.
Mandapeta
Mandapeta is a town in the East Godavari region of Andhra Pradesh, India, known for its agricultural economy and proximity to the Godavari River.
-
C.
Uppala
Uppala is a prominent coastal town in Kerala’s Kasaragod district, known for its commercial activity and proximity to the Kerala–Karnataka border.
-
D.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
E.
Tamralipti
Tamralipti was an ancient and prominent port city on the eastern coast of the Indian subcontinent that served as a key maritime hub for trade and cultural exchange between India and Southeast Asia.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.