Triple
T20707818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jærbanen |
E508950
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Ogna
Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
|
E1445469
|
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: Ogna | Statement: [Jærbanen, connectsTo, Ogna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogna Context triple: [Jærbanen, connectsTo, Ogna]
-
A.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
B.
Olinia
Olinia is a genus of flowering plants in the family Oliniaceae, comprising shrubs and small trees native mainly to southern Africa.
-
C.
Ondava
Ondava is a river in eastern Slovakia that flows through the Carpathian region and forms part of the watershed of the Bodrog and Tisza river systems.
-
D.
Marone
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
-
E.
Ouakam
Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
- 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: Ogna Triple: [Jærbanen, connectsTo, Ogna]
Generated description
Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogna Target entity description: Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
-
A.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
B.
Olinia
Olinia is a genus of flowering plants in the family Oliniaceae, comprising shrubs and small trees native mainly to southern Africa.
-
C.
Ondava
Ondava is a river in eastern Slovakia that flows through the Carpathian region and forms part of the watershed of the Bodrog and Tisza river systems.
-
D.
Marone
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
-
E.
Ouakam
Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7f4d5f08190a733c7247f51f492 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8f47be881909859bbe23887d0fc |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:14 p.m.