Triple
T2445039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harajuku |
E53370
|
entity |
| Predicate | hasMainStreet |
P461
|
FINISHED |
| Object | Cat Street |
E140309
|
NE 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: Cat Street | Statement: [Harajuku, hasMainStreet, Cat Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Street Context triple: [Harajuku, hasMainStreet, Cat Street]
-
A.
Cat Street
chosen
Cat Street is a trendy pedestrian shopping and café-lined alley in Tokyo’s Harajuku–Shibuya area, known for its fashion boutiques and youth culture.
-
B.
The Street
The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
-
C.
Catte Street
Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
-
D.
Love Street
Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
-
E.
Sugar Street
Sugar Street is a novel by Egyptian Nobel laureate Naguib Mahfouz that continues his Cairo Trilogy, depicting the evolving fortunes and political awakenings of a Cairene family across generations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.