Triple
T15161348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PARCO Ikebukuro |
E362223
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
PARCO
PARCO is a Japanese department store and shopping mall chain known for its trendy fashion, youth-oriented culture, and urban lifestyle offerings.
|
E1139781
|
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: PARCO | Statement: [PARCO Ikebukuro, brand, PARCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PARCO Context triple: [PARCO Ikebukuro, brand, PARCO]
-
A.
Parque Raimondi
Parque Raimondi is a public park and green space located in the Miraflores district of Lima, Peru, known as a local recreational and leisure area.
-
B.
Home Park
Home Park is a historic royal deer park surrounding Hampton Court Palace in southwest London, known for its expansive lawns, wildlife, and formal landscapes.
-
C.
Home Park
Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
-
D.
Home Park
Home Park is a football stadium in Plymouth, England, best known as the long-time home ground of Plymouth Argyle F.C.
-
E.
SantaPark
SantaPark is a Christmas-themed amusement park and visitor attraction in Lapland dedicated to Santa Claus and festive experiences.
- 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: PARCO Triple: [PARCO Ikebukuro, brand, PARCO]
Generated description
PARCO is a Japanese department store and shopping mall chain known for its trendy fashion, youth-oriented culture, and urban lifestyle offerings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PARCO Target entity description: PARCO is a Japanese department store and shopping mall chain known for its trendy fashion, youth-oriented culture, and urban lifestyle offerings.
-
A.
Parque Raimondi
Parque Raimondi is a public park and green space located in the Miraflores district of Lima, Peru, known as a local recreational and leisure area.
-
B.
Home Park
Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
-
C.
Home Park
Home Park is a football stadium in Plymouth, England, best known as the long-time home ground of Plymouth Argyle F.C.
-
D.
Home Park
Home Park is a historic royal deer park surrounding Hampton Court Palace in southwest London, known for its expansive lawns, wildlife, and formal landscapes.
-
E.
SantaPark
SantaPark is a Christmas-themed amusement park and visitor attraction in Lapland dedicated to Santa Claus and festive experiences.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffc94e48190844e226c245a9ce3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec1b27c5c8190b3b81cd10b11e973 |
completed | May 9, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec24105a48190a698de2b380f4dbc |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:08 a.m.