Triple
T12676395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manohar International Airport |
E302821
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mopa |
E886375
|
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: Mopa | Statement: [Manohar International Airport, locatedIn, Mopa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mopa Context triple: [Manohar International Airport, locatedIn, Mopa]
-
A.
Mopa
chosen
Mopa is a village in North Goa, India, known primarily as the location of the Manohar International Airport.
-
B.
Mupun
Mupun is a West Chadic language spoken primarily in central Nigeria by the Mupun people.
-
C.
Moxhe
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
-
D.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
E.
Moukari
Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a341288190822fae2469efea09 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:20 p.m.