Triple
T17766434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Plata River |
E443517
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Barranquitas |
E826412
|
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: Barranquitas | Statement: [La Plata River, flowsThrough, Barranquitas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barranquitas Context triple: [La Plata River, flowsThrough, Barranquitas]
-
A.
Barranquitas
chosen
Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
-
B.
San Cristóbal de la Barranca
San Cristóbal de la Barranca is a small municipality in the state of Jalisco, Mexico, known for its deep canyon landscapes and hot springs along the Santiago River.
-
C.
San Ricardo
San Ricardo is a coastal municipality in the province of Southern Leyte in the Philippines, known as a gateway to Mindanao via its roll-on/roll-off ferry port.
-
D.
Puerto Rosales
Puerto Rosales is a small Argentine port town on the Atlantic coast, serving as a commercial and fishing harbor close to the major Puerto Belgrano Naval Base.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fc03e48190a8044e1b40f66f20 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc14808819099ecbb8a752aff24 |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:11 a.m.