Triple
T21020553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belén district |
E517793
|
entity |
| Predicate | housingAdaptation |
P67334
|
FINISHED |
| Object | houses on stilts |
—
|
LITERAL 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: houses on stilts | Statement: [Belén district, housingAdaptation, houses on stilts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingAdaptation Context triple: [Belén district, housingAdaptation, houses on stilts]
-
A.
housingForm
chosen
Indicates the type or structure of housing associated with an entity (e.g., apartment, single-family home, dormitory).
-
B.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
C.
homeManager
Indicates that one entity manages, oversees, or is responsible for the operations or affairs of another entity’s home or household.
-
D.
housesIcon
Indicates that one entity serves as the icon or symbolic graphical representation for another entity.
-
E.
providedHousingFor
Indicates that one entity supplied or arranged housing or accommodation for another entity.
- F. None of above.
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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5c905c8190ba2f9f82b6cd1648 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:54 p.m.