Triple
T12632416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bicqlo Shinjuku |
E301674
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Bicqlo
Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
|
E996249
|
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: Bicqlo | Statement: [Bicqlo Shinjuku, abbreviation, Bicqlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bicqlo Context triple: [Bicqlo Shinjuku, abbreviation, Bicqlo]
-
A.
Bikel
Bikel is a surname most notably associated with Theodore Bikel, an Austrian-American actor, folk singer, and civil rights activist.
-
B.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
C.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
D.
Bisi
Bisi is a given name commonly used in Nigeria, often as a shortened form of Yoruba names such as Abisola or Abisoye.
-
E.
Bikin
Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
- 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: Bicqlo Triple: [Bicqlo Shinjuku, abbreviation, Bicqlo]
Generated description
Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bicqlo Target entity description: Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
-
A.
Bikel
Bikel is a surname most notably associated with Theodore Bikel, an Austrian-American actor, folk singer, and civil rights activist.
-
B.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
C.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
D.
Bisi
Bisi is a given name commonly used in Nigeria, often as a shortened form of Yoruba names such as Abisola or Abisoye.
-
E.
Bikin
Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610e4f408190946f37325d69375c |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:15 p.m.