Triple
T38270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Prefecture |
E757
|
entity |
| Predicate | railHub |
P523
|
FINISHED |
| Object |
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
|
E16052
|
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: Namba Station | Statement: [Osaka Prefecture, railHub, Namba Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namba Station Context triple: [Osaka Prefecture, railHub, Namba Station]
-
A.
Shin-Osaka Station
Shin-Osaka Station is a major railway and Shinkansen hub in Osaka that serves as a key gateway connecting the city with other regions across Japan.
-
B.
Osaka Station
Osaka Station is a major railway terminal and transportation hub in Osaka, Japan, serving numerous local and long-distance train lines and connecting key commercial districts.
-
C.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
D.
Osaka Metro
Osaka Metro is the rapid transit network serving Japan’s city of Osaka and its surrounding urban area.
-
E.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
- 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: Namba Station Triple: [Osaka Prefecture, railHub, Namba Station]
Generated description
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namba Station Target entity description: Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
A.
Shin-Osaka Station
Shin-Osaka Station is a major railway and Shinkansen hub in Osaka that serves as a key gateway connecting the city with other regions across Japan.
-
B.
Osaka Station
Osaka Station is a major railway terminal and transportation hub in Osaka, Japan, serving numerous local and long-distance train lines and connecting key commercial districts.
-
C.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
D.
Osaka Metro
Osaka Metro is the rapid transit network serving Japan’s city of Osaka and its surrounding urban area.
-
E.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ec1ef5481909daf99654dfa3f57 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b4b65e0881908e82b8e3a4bd3aa4 |
completed | Feb. 28, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_69a2b4ff2c408190899d7570fc0745bd |
completed | Feb. 28, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b55aa8e48190ab8f93e6230071e0 |
completed | Feb. 28, 2026, 9:28 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.