Triple
T33318676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isetan Mitsukoshi Holdings |
E853080
|
entity |
| Predicate | hasFlagshipStoreBrand |
P43978
|
FINISHED |
| Object | Isetan Shinjuku |
—
|
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: Isetan Shinjuku | Statement: [Isetan Mitsukoshi Holdings, hasFlagshipStoreBrand, Isetan Shinjuku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagshipStoreBrand Context triple: [Isetan Mitsukoshi Holdings, hasFlagshipStoreBrand, Isetan Shinjuku]
-
A.
hasFlagshipIn
chosen
Indicates that an entity designates a particular location or branch as its primary or flagship presence.
-
B.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
C.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
D.
hasBrandPresence
Indicates that an entity maintains an official or recognizable representation (such as branding, marketing, or products) within a particular context, location, or platform.
-
E.
hasRetailBrands
Indicates that an entity owns, manages, or is associated with one or more retail brands.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:33 a.m.