Triple
T21545575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordmarka trail network |
E531613
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Hakadal |
—
|
NE NERFINISHED |
How this triple was built (2 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: Hakadal | Statement: [Nordmarka trail network, connectsTo, Hakadal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakadal Context triple: [Nordmarka trail network, connectsTo, Hakadal]
-
A.
Hakadal
chosen
Hakadal is a village area in Nittedal, Norway, known as a gateway to the Nordmarka forest and for its surrounding outdoor recreation opportunities.
-
B.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
-
C.
Hakor
Hakor was a pharaoh of ancient Egypt’s Twenty-ninth Dynasty, known for his efforts to maintain Egyptian independence against Persian domination.
-
D.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
E.
Khoksa
Khoksa is a town and administrative unit in western Bangladesh, situated within the Kushtia District of the Khulna Division.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.