Triple
T8761207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asakusa Station |
E208201
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
A-18
A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
|
E755104
|
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: A-18 | Statement: [Asakusa Station, hasStationCode, A-18]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-18 Context triple: [Asakusa Station, hasStationCode, A-18]
-
A.
AC-8
AC-8 was a class of Southern Pacific Railroad articulated steam locomotives in the distinctive cab-forward configuration, used primarily for heavy freight service over mountainous routes in the early 20th century.
-
B.
LC-18A
LC-18A is a launch complex at Cape Canaveral used historically for early U.S. rocket launches, including the Vanguard program.
-
C.
A86
A86 is a major orbital motorway forming part of the ring road system around Paris, France.
-
D.
CP-140 Aurora
The CP-140 Aurora is a Canadian long-range maritime patrol and anti-submarine warfare aircraft based on the Lockheed P-3 Orion airframe and used primarily for surveillance and reconnaissance missions.
-
E.
A1A
A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
- 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: A-18 Triple: [Asakusa Station, hasStationCode, A-18]
Generated description
A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A-18 Target entity description: A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
-
A.
AC-8
AC-8 was a class of Southern Pacific Railroad articulated steam locomotives in the distinctive cab-forward configuration, used primarily for heavy freight service over mountainous routes in the early 20th century.
-
B.
LC-18A
LC-18A is a launch complex at Cape Canaveral used historically for early U.S. rocket launches, including the Vanguard program.
-
C.
A86
A86 is a major orbital motorway forming part of the ring road system around Paris, France.
-
D.
CP-140 Aurora
The CP-140 Aurora is a Canadian long-range maritime patrol and anti-submarine warfare aircraft based on the Lockheed P-3 Orion airframe and used primarily for surveillance and reconnaissance missions.
-
E.
A1A
A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfa9d6c81908c4c6b3a6f84f67d |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4354a4c081908c338db408694abf |
completed | April 3, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69cf44b3ce2c8190b109189990ae6564 |
completed | April 3, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4578473081909fc55632c366a56a |
completed | April 3, 2026, 4:43 a.m. |
Created at: March 30, 2026, 6:40 p.m.