Triple
T15916345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Retailing |
E385979
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
PLST
PLST is a Japanese clothing retail brand and chain known for offering contemporary, affordable fashion, and is part of the Fast Retailing group that also owns Uniqlo.
|
E1182348
|
NE FINISHED |
How this triple was built (4 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: PLST | Statement: [Fast Retailing, owns, PLST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLST Context triple: [Fast Retailing, owns, PLST]
-
A.
PHL
PHL is the three-letter country code for the Philippines, a Southeast Asian nation in the western Pacific Ocean.
-
B.
PHL
PHL is the three-letter IATA airport code for Philadelphia International Airport, the primary commercial airport serving the Philadelphia metropolitan area in Pennsylvania, USA.
-
C.
Greek Studies
Greek Studies is a collection of essays by Walter Pater that explores ancient Greek art, literature, religion, and culture through his distinctive aesthetic and critical lens.
-
D.
CLST
CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
-
E.
CLAS
CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PLST Triple: [Fast Retailing, owns, PLST]
Generated description
PLST is a Japanese clothing retail brand and chain known for offering contemporary, affordable fashion, and is part of the Fast Retailing group that also owns Uniqlo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PLST Target entity description: PLST is a Japanese clothing retail brand and chain known for offering contemporary, affordable fashion, and is part of the Fast Retailing group that also owns Uniqlo.
-
A.
PHL
PHL is the three-letter country code for the Philippines, a Southeast Asian nation in the western Pacific Ocean.
-
B.
PHL
PHL is the three-letter IATA airport code for Philadelphia International Airport, the primary commercial airport serving the Philadelphia metropolitan area in Pennsylvania, USA.
-
C.
Greek Studies
Greek Studies is a collection of essays by Walter Pater that explores ancient Greek art, literature, religion, and culture through his distinctive aesthetic and critical lens.
-
D.
CLST
CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
-
E.
CLAS
CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
- F. None of above. chosen
Provenance (5 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15662e2c481909e3582be01f05d08 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0cfac808190b32bb25659603fb4 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb15b987c8190ae9c96f15fc55b27 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.