Triple
T12237098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan MacFarlane |
E291623
|
entity |
| Predicate | hasSept |
P60340
|
FINISHED |
| Object | Farlane |
E970837
|
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: Farlane | Statement: [Clan MacFarlane, hasSept, Farlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farlane Context triple: [Clan MacFarlane, hasSept, Farlane]
-
A.
Farlan
chosen
Farlan is a Scottish family name recognized as a sept of Clan MacFarlane, historically associated with the Highlands.
-
B.
Farlee
Farlee is a given name and surname that serves as an alternative spelling of Farley.
-
C.
Froyle
Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
-
D.
Fluberg
Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
-
E.
Byley
Byley is a small rural village in Cheshire, England, situated near the town of Middlewich.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb2892c81909a97b3ad6ec2c21b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5ff68c81909d2796b24dd055f4 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.