Triple
T2420097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Hato airfield |
E53398
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Rio Hato |
E53398
|
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: Rio Hato | Statement: [Rio Hato airfield, locatedIn, Rio Hato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Hato Context triple: [Rio Hato airfield, locatedIn, Rio Hato]
-
A.
Rio Hato
chosen
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.
-
B.
Rio Largo
Rio Largo is a municipality in the Brazilian state of Alagoas, known for its role in the region’s sugarcane industry and proximity to the state capital, Maceió.
-
C.
Gilão River
The Gilão River is a waterway in Portugal’s Algarve region that flows through the historic town of Tavira before reaching the Atlantic Ocean.
-
D.
Madeira River
The Madeira River is one of the largest and most significant rivers in South America, flowing through Bolivia and Brazil and playing a key role in the Amazon Basin’s ecology, transport, and hydroelectric power generation.
-
E.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96e1b3881909de57501b5d4099a |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cd2e9808190aa124c6051d1fc98 |
completed | March 9, 2026, 11:50 p.m. |
Created at: March 6, 2026, 9:42 p.m.