Triple
T2480173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amagasaki Station |
E55794
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Tachibana Station
Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe Line).
|
E574983
|
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: Tachibana Station | Statement: [Amagasaki Station, adjacentTo, Tachibana Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tachibana Station Context triple: [Amagasaki Station, adjacentTo, Tachibana Station]
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
-
D.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
E.
Ebisucho Station
Ebisucho Station is a railway station in Osaka, Japan, serving as a convenient access point to the Shinsekai entertainment district and nearby attractions.
- 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: Tachibana Station Triple: [Amagasaki Station, adjacentTo, Tachibana Station]
Generated description
Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe Line).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tachibana Station Target entity description: Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe Line).
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Takatsuki Station
Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
-
D.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
E.
Ebisucho Station
Ebisucho Station is a railway station in Osaka, Japan, serving as a convenient access point to the Shinsekai entertainment district and nearby attractions.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd160a9708190b28d2f5538ea129a |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e581e94819086313b9d3a40b159 |
completed | March 23, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69c1e023cfd0819089cb5727c673f098 |
completed | March 24, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e07df8388190ba0ed8879a4ca2ee |
completed | March 24, 2026, 12:53 a.m. |
Created at: March 6, 2026, 9:45 p.m.