Triple
T28737997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mouzaïa neighborhood |
E730852
|
entity |
| Predicate | urbanIdentity |
P168635
|
FINISHED |
| Object | village in the city |
—
|
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: village in the city | Statement: [La Mouzaïa neighborhood, urbanIdentity, village in the city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanIdentity Context triple: [La Mouzaïa neighborhood, urbanIdentity, village in the city]
-
A.
urbanLandscapeCharacterizedBy
Indicates that an urban landscape possesses or is defined by specific distinguishing features, qualities, or elements.
-
B.
urbanDevelopmentBrand
Indicates a branding or marketing relationship that associates something with urban development initiatives, projects, or identity.
-
C.
cityhoodBy
Indicates that an entity attained the status of a city through the action, decision, or authority of the referenced agent or process.
-
D.
urbanScale
Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
-
E.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 6:01 a.m.