Triple
T1283727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachiko Square |
E27384
|
entity |
| Predicate | isPopularMeetingPoint |
P12391
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hachiko Square, isPopularMeetingPoint, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularMeetingPoint Context triple: [Hachiko Square, isPopularMeetingPoint, true]
-
A.
gatheringPlace
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
-
B.
traditionalMeetingPlace
chosen
Indicates that a location is customarily used as a gathering spot for meetings or social interactions according to established tradition.
-
C.
meetsInPlaceOf
Indicates that one entity meets or comes together with another specifically at a designated place or location.
-
D.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
E.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.