Triple
T9139105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glorieta de la Diana Cazadora |
E219276
|
entity |
| Predicate | cityGatewayRole |
P74346
|
FINISHED |
| Object | entrance to Zona Rosa |
—
|
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: entrance to Zona Rosa | Statement: [Glorieta de la Diana Cazadora, cityGatewayRole, entrance to Zona Rosa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityGatewayRole Context triple: [Glorieta de la Diana Cazadora, cityGatewayRole, entrance to Zona Rosa]
-
A.
cityService
Indicates that a service is provided by, operates within, or is administered by a particular city.
-
B.
endpointCityRole
Indicates the role or function that a city plays as an endpoint within a route, connection, or network.
-
C.
hasCityGateFunction
chosen
Indicates that something serves the role or function of a city gate, such as controlling access, passage, or boundary between a city and its surroundings.
-
D.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
cityGateTo
Indicates a directional relationship where one location or path leads to or opens into a city gate.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f129c08190b6f053984cb7363f |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.