Triple
T14937879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbi district |
E372442
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object | Halvad |
E1128599
|
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: Halvad | Statement: [Morbi district, hasNotableTown, Halvad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halvad Context triple: [Morbi district, hasNotableTown, Halvad]
-
A.
Halvad
chosen
Halvad is a town in the Morbi district of Gujarat, India, known for its local trade and regional connectivity.
-
B.
Halvvasan
Halvvasan is a shorter-distance cross-country ski race in Sweden that forms part of the Vasaloppet series of events.
-
C.
Haravgi
Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
-
D.
Vaala
Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
-
E.
Halsua
Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:38 a.m.