Triple
T15365965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friezland |
E367414
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Dobcross |
E73666
|
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: Dobcross | Statement: [Friezland, locatedNear, Dobcross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobcross Context triple: [Friezland, locatedNear, Dobcross]
-
A.
Dobcross
chosen
Dobcross is a historic rural village in Greater Manchester, England, known for its traditional stone buildings and location within the Saddleworth area.
-
B.
Dobb
Dobb is a variant form of the name Dobbs, likely used as a surname or given name.
-
C.
Mr. DOB
Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
-
D.
DØ
DØ was a major particle physics experiment at the Tevatron collider that investigated high-energy proton–antiproton collisions to study fundamental particles and forces, including detailed measurements of the top quark and searches for new physics.
-
E.
Dub-C
Dub-C is the stage name of WC, a West Coast hip hop rapper known for his solo work and collaborations with groups like Westside Connection.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.