Triple
T14035191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IT-LT |
E337693
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Latina |
E67520
|
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: Latina | Statement: [IT-LT, subdivisionName, Latina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latina Context triple: [IT-LT, subdivisionName, Latina]
-
A.
Latina
chosen
Latina is a modern Italian city in the Lazio region, known for its rationalist architecture and origins as a planned town founded during the Fascist era.
-
B.
Latina
Latina is a large, historic district in southwestern Madrid known for its traditional neighborhoods, lively tapas scene, and extensive green areas.
-
C.
Latina
"Latina" is a genre-blending music album by Galician bagpiper and pianist Cristina Pato that explores Latin and world music influences through innovative arrangements.
-
D.
Parlatino
Parlatino is a regional parliamentary organization that brings together the legislative bodies of Latin American countries to promote political integration, democracy, and cooperation across the region.
-
E.
Mexicana
Mexicana is a themed area at Chessington World of Adventures that recreates a Wild West-style Mexican frontier town with rides, attractions, and entertainment.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249c57bc819089baed544fb8fead |
completed | May 8, 2026, 5:59 p.m. |
Created at: April 9, 2026, 10:20 p.m.