Triple
T573291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Metro |
E13707
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
PiTaPa
PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
|
E71901
|
NE FINISHED |
How this triple was built (4 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: PiTaPa | Statement: [Osaka Metro, uses, PiTaPa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PiTaPa Context triple: [Osaka Metro, uses, PiTaPa]
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Putlibai
Putlibai was the deeply religious mother of Mahatma Gandhi, whose piety and moral influence profoundly shaped his character and values.
-
E.
Jini
Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PiTaPa Triple: [Osaka Metro, uses, PiTaPa]
Generated description
PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PiTaPa Target entity description: PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Putlibai
Putlibai was the deeply religious mother of Mahatma Gandhi, whose piety and moral influence profoundly shaped his character and values.
-
E.
Jini
Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4c3df48190a886a8d3c633d417 |
completed | March 2, 2026, 3:09 a.m. |
| NEDg | Description generation | batch_69a4ffcad6e08190938018ade5bc5d67 |
completed | March 2, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5001de9c481909d43c001028c922c |
completed | March 2, 2026, 3:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.