Triple
T695445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavira |
E13884
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Gilão River |
E95988
|
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: Gilão River | Statement: [Tavira, river, Gilão River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilão River Context triple: [Tavira, river, Gilão River]
-
A.
Gilão River
chosen
The Gilão River is a waterway in Portugal’s Algarve region that flows through the historic town of Tavira before reaching the Atlantic Ocean.
-
B.
Carioca River
The Carioca River is a small urban waterway in Rio de Janeiro, Brazil, historically important as a source of fresh water for the city and now known for running through the Tijuca Forest and into Guanabara Bay.
-
C.
Santa Catarina River
The Santa Catarina River is a seasonal river in northeastern Mexico that runs through the city of Monterrey and is known for its dramatic floods and role in shaping the urban landscape.
-
D.
Rio Hato
Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
-
E.
Apure River
The Apure River is a significant waterway in western Venezuela that drains the Llanos plains and supports regional agriculture, cattle ranching, and river transport.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c5f51c8190acc4915099e4b384 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3a6bcf88190aff5bd3db264f475 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:36 p.m.