Triple
T17087270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroní River |
E414630
|
entity |
| Predicate | majorCityNearMouth |
P49603
|
FINISHED |
| Object | San Félix |
E367039
|
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 Félix | Statement: [Caroní River, majorCityNearMouth, San Félix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Félix Context triple: [Caroní River, majorCityNearMouth, San Félix]
-
A.
San Félix
chosen
San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
-
B.
San Felipe
San Felipe is a coastal town in Baja California, Mexico, known as a gateway to nearby natural attractions and desert and mountain landscapes.
-
C.
San Felipe
San Felipe is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
-
D.
San Felipe
San Felipe is a historic city in central Chile known for its agricultural surroundings and role as a commercial and administrative center in the Aconcagua Valley.
-
E.
San Felipe
San Felipe is a small coastal town in Mexico’s Yucatán Peninsula known for its colorful wooden houses, fishing traditions, and access to rich mangrove and wildlife areas.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe7ccb48190b8fb39e2a0ba0782 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139fa0a288190af69201ec88ec3c6 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.