Triple
T11223285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reverchon Park |
E265625
|
entity |
| Predicate | hasCityService |
P6352
|
FINISHED |
| Object | park maintenance |
—
|
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: park maintenance | Statement: [Reverchon Park, hasCityService, park maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityService Context triple: [Reverchon Park, hasCityService, park maintenance]
-
A.
hasMunicipalService
chosen
Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
-
B.
hasSuburbanService
Indicates that an entity provides or is connected to a public transportation service specifically serving suburban areas, typically linking suburbs with urban centers.
-
C.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
-
D.
hasMunicipalServiceProvider
Indicates that a municipality is served by a specific organization or entity that provides municipal services (such as utilities, waste management, or public transport).
-
E.
hasCityServedSuccessor
Indicates that one city served by a service, role, or entity is the successor to another previously served city in that same context.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.