Triple
T9348790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernakulam district |
E224961
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nedumbassery |
E757695
|
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: Nedumbassery | Statement: [Ernakulam district, contains, Nedumbassery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nedumbassery Context triple: [Ernakulam district, contains, Nedumbassery]
-
A.
Nedumbassery
chosen
Nedumbassery is a suburban area near Kochi in the Indian state of Kerala, best known for hosting Cochin International Airport.
-
B.
Ukkadam
Ukkadam is a prominent commercial and transport hub in Coimbatore, Tamil Nadu, known for its busy markets and connectivity.
-
C.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
D.
Peelamedu
Peelamedu is a prominent residential and commercial neighborhood in Coimbatore, Tamil Nadu, known for its educational institutions, industries, and proximity to major transport hubs.
-
E.
Suthen
Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.