Triple
T4733165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kintetsu Namba Line |
E105058
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Ikoma Station
Ikoma Station is a major railway hub in Ikoma, Nara Prefecture, Japan, serving as an interchange between Kintetsu lines and local transit.
|
E906514
|
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: Ikoma Station | Statement: [Kintetsu Namba Line, hasStation, Ikoma Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikoma Station Context triple: [Kintetsu Namba Line, hasStation, Ikoma Station]
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
C.
Yata Station
Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
-
D.
Ebisu Station
Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
-
E.
Izumoshi Station
Izumoshi Station is a major railway station in Izumo, Shimane Prefecture, Japan, serving as a key regional hub for local and limited express train services.
- 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: Ikoma Station Triple: [Kintetsu Namba Line, hasStation, Ikoma Station]
Generated description
Ikoma Station is a major railway hub in Ikoma, Nara Prefecture, Japan, serving as an interchange between Kintetsu lines and local transit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikoma Station Target entity description: Ikoma Station is a major railway hub in Ikoma, Nara Prefecture, Japan, serving as an interchange between Kintetsu lines and local transit.
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
C.
Yata Station
Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
-
D.
Ebisu Station
Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
-
E.
Izumoshi Station
Izumoshi Station is a major railway station in Izumo, Shimane Prefecture, Japan, serving as a key regional hub for local and limited express train services.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: March 20, 2026, 1:19 p.m.