Triple
T6154394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keio fare system |
E137282
|
entity |
| Predicate | compatibleICCardBrand |
P69490
|
FINISHED |
| Object | manaca |
E355486
|
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: manaca | Statement: [Keio fare system, compatibleICCardBrand, manaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: manaca Context triple: [Keio fare system, compatibleICCardBrand, manaca]
-
A.
manaca
chosen
manaca is a rechargeable contactless smart card used for public transportation and electronic payments in the Nagoya area of Japan.
-
B.
MaNa
MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
-
C.
Renca
Renca is a commune and urban area in the Santiago Metropolitan Region of Chile, known for its residential neighborhoods and proximity to central Santiago.
-
D.
Manises
Manises is a town in Spain’s Valencian Community, known for its historic ceramics industry and proximity to Valencia.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c060fca4cc8190bf95231cd2a594c1 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418195d8819092743f323430b9a8 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:17 p.m.