Triple
T11562177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapani–Birgi Airport |
E274170
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Trapani |
E85813
|
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: Trapani | Statement: [Trapani–Birgi Airport, locatedIn, Trapani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trapani Context triple: [Trapani–Birgi Airport, locatedIn, Trapani]
-
A.
Trapani
chosen
Trapani is a coastal city in western Sicily, Italy, known for its historic port, salt pans, and proximity to the Egadi Islands.
-
B.
Messina
Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
-
C.
Messina
Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
-
D.
Caltagirone
Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
-
E.
Reggio Calabria
Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd2016481909b33848af3d1d6c1 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2527570819092314ee0a678e53c |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:37 p.m.