Triple
T12743460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyneside urban area |
E304544
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wallsend |
E199550
|
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: Wallsend | Statement: [Tyneside urban area, hasPart, Wallsend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallsend Context triple: [Tyneside urban area, hasPart, Wallsend]
-
A.
Wallsend
chosen
Wallsend is a town in North Tyneside, England, historically significant as the eastern terminus of Hadrian’s Wall and site of the Segedunum Roman Fort.
-
B.
Gateshead
Gateshead is a large town in northeast England, situated on the southern bank of the River Tyne opposite Newcastle upon Tyne, known for its modern architecture and cultural venues.
-
C.
Whitley Bay
Whitley Bay is a coastal town in North Tyneside, England, known for its sandy beaches, seaside promenade, and the nearby St Mary's Island with its iconic lighthouse.
-
D.
Tynemouth
Tynemouth is a coastal town in Tyne and Wear, England, known for its historic priory and castle overlooking long sandy beaches at the mouth of the River Tyne.
-
E.
Benwell
Benwell is a residential district in the west end of Newcastle upon Tyne, England, known for its historical industrial roots and subsequent urban regeneration.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd321bc81908eb61cc05b550754 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8e89cc8190ac97b13d9d409179 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:26 p.m.