Triple
T22180474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FUNO |
E548154
|
entity |
| Predicate | underlyingEntity |
P110019
|
FINISHED |
| Object | Fibra Uno |
—
|
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: Fibra Uno | Statement: [FUNO, underlyingEntity, Fibra Uno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fibra Uno Context triple: [FUNO, underlyingEntity, Fibra Uno]
-
A.
Fibra Uno
chosen
Fibra Uno is a major Mexican real estate investment trust (FIBRA) that owns and operates a large portfolio of commercial properties across Mexico.
-
B.
Castor fiber
Castor fiber is the Eurasian beaver, a large semi-aquatic rodent known for building dams and lodges in freshwater habitats across Europe and parts of Asia.
-
C.
All-Bran
All-Bran is a high-fiber breakfast cereal produced by Kellogg’s, marketed primarily for its digestive and heart health benefits.
-
D.
Fibreno
Fibreno is a river in the Ciociaria region of central Italy, known for its clear waters and natural beauty.
-
E.
Chía
Chía is a municipality in the department of Cundinamarca, Colombia, known for its rapid urban growth and proximity to the capital city, Bogotá.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa4d4ac8190922b919c15623963 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.