Triple
T17255452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeb International Airport |
E418868
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Seeb |
E418865
|
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: Seeb | Statement: [Seeb International Airport, locatedIn, Seeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeb Context triple: [Seeb International Airport, locatedIn, Seeb]
-
A.
Seeb
chosen
Seeb is a coastal town in northern Oman that forms part of the greater Muscat metropolitan area and serves as a residential and commercial hub near the capital.
-
B.
Seeb
Seeb is a Norwegian electronic music production and DJ trio best known internationally for their hit remixes and tropical house-influenced tracks.
-
C.
Dunbeg
Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
-
D.
Morat
Morat is the French name for the bilingual Swiss town of Murten, located on the shores of Lake Murten in the canton of Fribourg.
-
E.
Morat
Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6c362c819088965c6e05f33faf |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fd7f7c81908f417fa758e861a2 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.