Triple
T29805558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua Plaza |
E756831
|
entity |
| Predicate | locatedInParkZone |
P90743
|
FINISHED |
| Object | central area of Moerenuma Park |
—
|
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: central area of Moerenuma Park | Statement: [Aqua Plaza, locatedInParkZone, central area of Moerenuma Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInParkZone Context triple: [Aqua Plaza, locatedInParkZone, central area of Moerenuma Park]
-
A.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
B.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
C.
positionInPark
chosen
Indicates that one entity occupies a specific location or spot within a park.
-
D.
zoningWithinPark
Indicates that a zoning area or designation lies entirely within the boundaries of a park.
-
E.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
Created at: April 29, 2026, 5:21 p.m.