Triple
T21430635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humacao |
E528674
|
entity |
| Predicate | hasBarrio |
P4813
|
FINISHED |
| Object | Mabú |
—
|
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: Mabú | Statement: [Humacao, hasBarrio, Mabú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mabú Context triple: [Humacao, hasBarrio, Mabú]
-
A.
Mabú
chosen
Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
-
B.
Mabu
The Mabu are a peaceful, mole-like race of small, furry humanoids from the Skylanders universe, known for their resourcefulness and close alliance with the Skylanders.
-
C.
Mamburao
Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
-
D.
Mabika
Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
-
E.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813fe2108190a4193f69667fe79e |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.