Triple
T15720622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Norfolk |
E381082
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Hilgay |
E613456
|
NE FINISHED |
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: Hilgay | Statement: [West Norfolk, containsSettlement, Hilgay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilgay Context triple: [West Norfolk, containsSettlement, Hilgay]
-
A.
Hilgay
chosen
Hilgay is a small village and civil parish in Norfolk, England, situated in the Fens and known for its agricultural landscape and riverside setting.
-
B.
Haillan
Haillan is a suburban commune in southwestern France that forms part of the greater Bordeaux metropolitan area.
-
C.
Hilvan
Hilvan is a district and town in southeastern Turkey known for its agricultural economy and location within Şanlıurfa Province.
-
D.
Haldia
Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
-
E.
Gullaug
Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75852cf88190be054160d5cbc675 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.