Triple
T3411393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PiTaPa |
E71901
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | nimoca |
E355484
|
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: nimoca | Statement: [PiTaPa, compatibleWith, nimoca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nimoca Context triple: [PiTaPa, compatibleWith, nimoca]
-
A.
nimoca
chosen
nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
-
B.
NMOC
NMOC is an abbreviation commonly used for a Network Manager Operations Centre, a facility responsible for overseeing and coordinating network operations and performance.
-
C.
Tama Monorail
Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
-
D.
Meitetsu
Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
-
E.
NOK
NOK is the official currency code for the Norwegian krone, the national currency of Norway.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90a76288190b92ef3b26638cd47 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546a73988190aeee83c090aa0bcf |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:15 p.m.