Triple
T20581133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haga Nygata |
E505656
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Haga |
—
|
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: Haga | Statement: [Haga Nygata, district, Haga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haga Context triple: [Haga Nygata, district, Haga]
-
A.
Haga
chosen
Haga is a district in Gothenburg, Sweden, known for its well-preserved wooden houses, cobbled streets, and vibrant café culture.
-
B.
Haría
Haría is a picturesque municipality and village in the northern part of Lanzarote in Spain’s Canary Islands, known for its lush “Valley of a Thousand Palms” and traditional architecture.
-
C.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
D.
Haya
The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
-
E.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:40 a.m.