Triple
T28164108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Monorail 1000 series (refurbished) |
E714976
|
entity |
| Predicate | refurbishmentOf |
P146851
|
FINISHED |
| Object | Tokyo Monorail 1000 series |
—
|
NE NERFINISHED |
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: Tokyo Monorail 1000 series | Statement: [Tokyo Monorail 1000 series (refurbished), refurbishmentOf, Tokyo Monorail 1000 series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refurbishmentOf Context triple: [Tokyo Monorail 1000 series (refurbished), refurbishmentOf, Tokyo Monorail 1000 series]
-
A.
refurbishedAs
chosen
Indicates that an entity has been renovated, restored, or upgraded and subsequently used or designated in a new or improved form or function.
-
B.
refurbishedIn
Indicates that an entity has undergone restoration, repair, or renovation at a specific time or during a particular period.
-
C.
renovationOccasion
Indicates the event, reason, or context that serves as the occasion for a renovation to take place.
-
D.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
E.
wasRenovatedFor
Indicates that an existing entity underwent renovation specifically to serve the needs, purposes, or use of another entity.
- F. None of above.
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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f641ed2a0c81909246ce42d3e01317 |
completed | May 2, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:08 p.m.