Triple
T21612197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arganzuela |
E533339
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Acacias |
—
|
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: Acacias | Statement: [Arganzuela, hasNeighbourhood, Acacias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acacias Context triple: [Arganzuela, hasNeighbourhood, Acacias]
-
A.
Acacias
Acacias is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
B.
Acacias
chosen
Acacias is a Madrid Metro station serving the central Arganzuela district and providing access to nearby residential and commercial areas.
-
C.
Acacia
Acacia is a diverse genus of thorny trees and shrubs common in warm regions worldwide, especially known for dominating many African savanna landscapes.
-
D.
Parkesia
Parkesia is a small genus of New World wood-warblers known for its ground-dwelling, insectivorous species such as the Northern and Louisiana waterthrushes.
-
E.
Acacia baileyana
Acacia baileyana is a small Australian wattle tree known for its feathery foliage and bright yellow flowers, widely cultivated as an ornamental plant.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba79424819094e9ee93c4bbcc0b |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.