Triple
T14817915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico Airport |
E348366
|
entity |
| Predicate | locatedOnIsland |
P970
|
FINISHED |
| Object | Pico |
E1064630
|
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: Pico | Statement: [Pico Airport, locatedOnIsland, Pico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Context triple: [Pico Airport, locatedOnIsland, Pico]
-
A.
Pico
Pico is the family name of Giovanni Pico della Mirandola, the influential Italian Renaissance philosopher famed for his "Oration on the Dignity of Man."
-
B.
Pico
chosen
Pico is a Portuguese island in the Azores archipelago, best known for its towering volcanic mountain and UNESCO-listed vineyard landscape.
-
C.
Pico
Pico is a small historic town in Italy’s Lazio region, situated within the Ciociaria area and known for its medieval architecture and hilltop setting.
-
D.
Pico Bill
The Pico Bill was a 19th-century legislative proposal associated with Californio politician Andrés Pico, reflecting his efforts to shape governance and land policy in early American-era California.
-
E.
Pico Mountain
Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:50 a.m.