Triple
T18982146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbi State |
E464453
|
entity |
| Predicate | sovereignOver |
P8163
|
FINISHED |
| Object | town of Morbi |
—
|
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: town of Morbi | Statement: [Morbi State, sovereignOver, town of Morbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Morbi Context triple: [Morbi State, sovereignOver, town of Morbi]
-
A.
Morbi Municipality
chosen
Morbi Municipality is the local civic administrative body responsible for managing municipal services and urban governance in the city of Morbi, Gujarat, India.
-
B.
Maulapur
Maulapur is a town located in Madhesh Province in southeastern Nepal.
-
C.
town of Moruya
The town of Moruya is a small coastal community in New South Wales, Australia, known as a regional service centre and gateway to the Eurobodalla region.
-
D.
Shelkar town
Shelkar town is a settlement in Tibet that serves as an important local center within Tingri County, known historically as a stop along routes to Mount Everest and other Himalayan regions.
-
E.
Rinku Town
Rinku Town is a commercial and entertainment district in Izumisano, Osaka Prefecture, known for its large outlet mall, seaside park, and proximity to Kansai International Airport.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.