Triple
T10429032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunner |
E245859
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Grua Station
Grua Station is a railway station serving the village of Grua in Lunner municipality in Viken county, Norway.
|
E1065228
|
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: Grua Station | Statement: [Lunner, hasRailwayStation, Grua Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grua Station Context triple: [Lunner, hasRailwayStation, Grua 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.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway 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: Grua Station Triple: [Lunner, hasRailwayStation, Grua Station]
Generated description
Grua Station is a railway station serving the village of Grua in Lunner municipality in Viken county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grua Station Target entity description: Grua Station is a railway station serving the village of Grua in Lunner municipality in Viken county, Norway.
-
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.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0cf61108190a15ab76454fc0d75 |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 6, 2026, 12:13 p.m.