Triple
T17581390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macal River |
E428211
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | San Ignacio |
—
|
NE NERFINISHED |
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 Ignacio | Statement: [Macal River, flowsThrough, San Ignacio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Ignacio Context triple: [Macal River, flowsThrough, San Ignacio]
-
A.
San Ignacio
chosen
San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
-
B.
San Ignacio
San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
-
C.
San Ignacio
San Ignacio is a town in western Honduras known as a small rural community within the Francisco Morazán Department.
-
D.
San Ignacio
San Ignacio is a historic oasis town in the Mulegé municipality of Baja California Sur, Mexico, known for its colonial mission and lush palm groves in the surrounding desert.
-
E.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463ce8eb081909257be47d150aa04 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.