Triple
T22327387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropic Air |
E551934
|
entity |
| Predicate | notableDestination |
P35273
|
FINISHED |
| Object | Dangriga |
—
|
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: Dangriga | Statement: [Tropic Air, notableDestination, Dangriga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dangriga Context triple: [Tropic Air, notableDestination, Dangriga]
-
A.
Dangriga
chosen
Dangriga is a coastal town in southern Belize known as the cultural capital of the Garifuna people and a gateway to nearby cayes and marine attractions.
-
B.
Mutdapilly
Mutdapilly is a rural locality in Queensland, Australia, known for its agricultural landscape and small community within the broader Ipswich region.
-
C.
Dangla
Dangla is another name for the Tanglha mountain range, a high-altitude range in the central Tibetan Plateau known for its rugged peaks and significant role in regional climate and hydrology.
-
D.
Jhirnya
Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
-
E.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.