Triple
T16886733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teesside |
E421558
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Grangetown |
E728928
|
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: Grangetown | Statement: [Teesside, hasPart, Grangetown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grangetown Context triple: [Teesside, hasPart, Grangetown]
-
A.
Grangetown
chosen
Grangetown is an industrial and residential area in North Yorkshire, England, situated near Middlesbrough within the borough of Redcar and Cleveland.
-
B.
Grangetown
Grangetown is a densely populated, ethnically diverse inner-city district of Cardiff, Wales, known for its Victorian and Edwardian housing and proximity to the city centre and Cardiff Bay.
-
C.
Butetown
Butetown is a historic and culturally diverse inner-city district of Cardiff, Wales, known for its docks heritage and multicultural community.
-
D.
Blaenymaes
Blaenymaes is a residential area and housing estate located within the City and County of Swansea in South Wales.
-
E.
Cardiff-by-the-Sea
Cardiff-by-the-Sea is a laid-back coastal community in northern San Diego County known for its beaches, surf culture, and small-town charm.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2bcf290819098be9def471e02b8 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.