Triple
T29857433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walentas family |
E758223
|
entity |
| Predicate | neighborhoodTransformed |
P172404
|
FINISHED |
| Object | DUMBO |
—
|
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: DUMBO | Statement: [Walentas family, neighborhoodTransformed, DUMBO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighborhoodTransformed Context triple: [Walentas family, neighborhoodTransformed, DUMBO]
-
A.
regionTransformed
Indicates that one region has been changed or converted into another region through some transformation process.
-
B.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
C.
formerNeighborhood
Indicates that an entity was previously located in or associated with a particular neighborhood but is no longer situated there.
-
D.
neighborhoodCharacteristic
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
E.
depictsNeighborhood
Indicates that one entity visually represents or portrays the neighborhood or local area associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 29, 2026, 5:47 p.m.