Triple
T14208000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Salto |
E352150
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Varco Sabino |
E344574
|
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: Varco Sabino | Statement: [Lake Salto, locatedNear, Varco Sabino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varco Sabino Context triple: [Lake Salto, locatedNear, Varco Sabino]
-
A.
Varco Sabino
chosen
Varco Sabino is a small municipality in the Lazio region of central Italy, situated in the mountainous area of the Province of Rieti.
-
B.
Don Criqui
Don Criqui is an American sportscaster best known for his long-running play-by-play work on NFL broadcasts and other major sporting events.
-
C.
Wilder Guisao
Wilder Guisao is a Colombian professional footballer known for playing as a winger for clubs in South America and abroad.
-
D.
Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
-
E.
Cháves
Cháves is the Brazilian Portuguese title of the popular Mexican comedy television series "El Chavo del Ocho," centered on the misadventures of a poor boy living in a neighborhood courtyard.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd195301e88190a5ef034253275fb0 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.