Triple
T36813128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro 02 series (former) |
E909648
|
entity |
| Predicate | operatedOnSection |
P203674
|
FINISHED |
| Object | Ikebukuro–Ogikubo section of Marunouchi Line |
E909227
|
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: Ikebukuro–Ogikubo section of Marunouchi Line | Statement: [Tokyo Metro 02 series (former), operatedOnSection, Ikebukuro–Ogikubo section of Marunouchi Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedOnSection Context triple: [Tokyo Metro 02 series (former), operatedOnSection, Ikebukuro–Ogikubo section of Marunouchi Line]
-
A.
operatedOn
Indicates that one entity has performed a surgical or procedural operation on another entity.
-
B.
operatedOnDivision
Indicates that an entity performed operations on, or carried out activities within, a specific division of an organization.
-
C.
operatedOnLevel
Indicates that an action or process was performed at, or with respect to, a specific level or layer within a system or structure.
-
D.
operatedFor
Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
-
E.
operatedTo
Indicates that one entity has performed a surgical or medical operation on another entity.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d17b8b44c819090d6d169324f0cba |
completed | June 25, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a01c41d38608190923c5fd32a59b865 |
completed | May 11, 2026, 11:57 a.m. |
Created at: May 3, 2026, 4:13 p.m.