Triple
T21057708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segeltorps IF (ice hockey) |
E518762
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Segeltorp |
—
|
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: Segeltorp | Statement: [Segeltorps IF (ice hockey), basedIn, Segeltorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segeltorp Context triple: [Segeltorps IF (ice hockey), basedIn, Segeltorp]
-
A.
Segeltorp
chosen
Segeltorp is a suburban district in the southern part of the Stockholm urban area, located within Huddinge Municipality in Sweden.
-
B.
Seiling
Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
-
C.
Sundlandet
Sundlandet is a locality in the Trøndelag region of Norway that was formerly part of the now-defunct municipality of Rissa.
-
D.
Sollentuna
Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
-
E.
Hanevik
Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd81434c8190aedfddf937f82322 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:37 p.m.