Triple
T34523977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oval Maidan |
E886351
|
entity |
| Predicate | cityParkType |
P12265
|
FINISHED |
| Object | maidan |
—
|
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: maidan | Statement: [Oval Maidan, cityParkType, maidan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityParkType Context triple: [Oval Maidan, cityParkType, maidan]
-
A.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
B.
parkType
chosen
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
C.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
D.
cityParkName
Indicates that the predicate specifies the name of a city park associated with a given entity.
-
E.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb5aa008190a40453a4139851b3 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.