Triple
T30748985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filinvest City |
E782895
|
entity |
| Predicate | hasOpenSpaceRatio |
P125636
|
FINISHED |
| Object | high proportion of open and green spaces |
—
|
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: high proportion of open and green spaces | Statement: [Filinvest City, hasOpenSpaceRatio, high proportion of open and green spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenSpaceRatio Context triple: [Filinvest City, hasOpenSpaceRatio, high proportion of open and green spaces]
-
A.
hasOpenSpaces
chosen
Indicates that an entity possesses or includes areas that are unobstructed, unoccupied, or otherwise open.
-
B.
isOpenSpace
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
C.
hasOpenSpacePreserve
Indicates that one entity possesses, contains, or is associated with an area designated as an open space preserve.
-
D.
isOpenSpaceOf
Indicates that one entity is an open, unobstructed area that belongs to, is part of, or is designated for use by another entity.
-
E.
hasOpenSpaceNearby
Indicates that an entity is located near or adjacent to an area that is open, unobstructed, or undeveloped.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 8:38 p.m.