Triple
T2838974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebburn-on-Tyne |
E62417
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Jarrow |
E277878
|
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: Jarrow | Statement: [Hebburn-on-Tyne, hasNeighbour, Jarrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarrow Context triple: [Hebburn-on-Tyne, hasNeighbour, Jarrow]
-
A.
Jarrow
chosen
Jarrow is a historic town in northeast England known for its early medieval monastery and association with the scholar Venerable Bede.
-
B.
Swanson
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
C.
Cambridge Naturals
Cambridge Naturals is a local health and wellness retailer known for offering natural foods, supplements, and eco-friendly personal care products.
-
D.
Harston
Harston is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
-
E.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdef015bc81909f6a2ff17b22862f |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8cbaa4081909ff4e9fdf590e352 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 10:01 p.m.