Triple
T7321956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donabate |
E168570
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Lusk |
E152080
|
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: Lusk | Statement: [Donabate, nearbySettlement, Lusk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lusk Context triple: [Donabate, nearbySettlement, Lusk]
-
A.
Lusk
chosen
Lusk is a small town in north County Dublin, Ireland, known for its historic medieval tower and rural village character.
-
B.
Berrigan
Berrigan is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic country character.
-
C.
Stevenstown
Stevenstown was the original name of the small Midwestern community now known as Opolis, Kansas.
-
D.
Crowley
Crowley is a surname most famously associated with Aleister Crowley, the English occultist, writer, and ceremonial magician.
-
E.
Crowley
Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0609dc81909f298d3963fc88af |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.