Triple
T36032540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Prospect |
E1042304
|
entity |
| Predicate | hasCivicCentre |
P147542
|
FINISHED |
| Object |
Prospect Civic Centre
Prospect Civic Centre is the main municipal facility and community hub serving the City of Prospect in South Australia, housing local government services, events, and public activities.
|
E2166483
|
NE FINISHED |
How this triple was built (3 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: Prospect Civic Centre | Statement: [City of Prospect, hasCivicCentre, Prospect Civic Centre]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prospect Civic Centre Triple: [City of Prospect, hasCivicCentre, Prospect Civic Centre]
Generated description
Prospect Civic Centre is the main municipal facility and community hub serving the City of Prospect in South Australia, housing local government services, events, and public activities.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivicCentre Context triple: [City of Prospect, hasCivicCentre, Prospect Civic Centre]
-
A.
hasCityCentreLocation
Indicates that something is located in, or directly associated with, the central area of a city.
-
B.
municipalCentre
chosen
Indicates that a location functions as the primary administrative or civic center for a municipality.
-
C.
hasCircuitCentre
Indicates that an entity has, is associated with, or is organized around a specific circuit center that serves as its focal or central point.
-
D.
isTownCenterOf
Indicates that a location functions as the central, primary area or hub of a specified town.
-
E.
hasCommunityCentre
Indicates that a place or area possesses or is served by a community centre facility.
- F. None of above.
Provenance (6 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cb9100cc8190bc51e81555d01d1b |
completed | June 22, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_6a38cc0aa9bc81909901251f1e0a2e9d |
completed | June 22, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38cc9b4e788190be09cff0bdb8ad6c |
completed | June 22, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:07 p.m.