Triple
T37215614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ploenchit Road |
E922726
|
entity |
| Predicate | hasNearbyOfficeComplex |
P5648
|
FINISHED |
| Object | All Seasons Place |
—
|
NE NERFINISHED |
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: All Seasons Place | Statement: [Ploenchit Road, hasNearbyOfficeComplex, All Seasons Place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOfficeComplex Context triple: [Ploenchit Road, hasNearbyOfficeComplex, All Seasons Place]
-
A.
hasMajorCompanyNearby
Indicates that a location or entity is situated close to at least one large or significant company.
-
B.
hasNearbyCommercialFacilities
Indicates that a place is located close to one or more commercial facilities, such as shops, restaurants, or other businesses.
-
C.
hasNearbyFacility
chosen
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
D.
hasNearbyInstitution
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
E.
neighborOfficeOf
Indicates that one entity’s office is located adjacent to or very near the office of another entity.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a008e29f76881908e656dbbd7fceea3 |
completed | May 10, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_6a008dc01b308190bc26e69814692f82 |
completed | May 10, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.