Triple
T16347632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao Victoria |
E396973
|
entity |
| Predicate | otherShipsInFleet |
P20629
|
FINISHED |
| Object | San Antonio |
E23254
|
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: San Antonio | Statement: [Nao Victoria, otherShipsInFleet, San Antonio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Antonio Context triple: [Nao Victoria, otherShipsInFleet, San Antonio]
-
A.
San Antonio
chosen
San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
-
B.
San Antonio
San Antonio is a barangay in the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
San Antonio
San Antonio is a coastal municipality in the Philippine province of Zambales known for its beaches, coves, and nearby island-hopping destinations.
-
D.
San Antonio
San Antonio is a small locality within the municipality of Valfurva in the Lombardy region of northern Italy, situated in the Italian Alps.
-
E.
San Antonio
San Antonio is a barangay (village-level administrative division) within the municipality of Capul in the Philippines.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da1038d88190b8292cfe71bc4f2a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00580b94c88190a3330791e505fd6a |
completed | May 10, 2026, 10:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.