Triple
T20524303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Tucker |
E503893
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Tulchyn |
—
|
NE NERFINISHED |
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: Tulchyn | Statement: [Sophie Tucker, placeOfBirth, Tulchyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulchyn Context triple: [Sophie Tucker, placeOfBirth, Tulchyn]
-
A.
Tulchyn
chosen
Tulchyn is a historic town in central Ukraine known for its architectural heritage, including the Potocki Palace, and its role as a cultural center in the region.
-
B.
Blaina
Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
-
C.
Towyn
Towyn is a coastal town in Gwynedd, Wales, known historically as a seaside resort and for its proximity to the Dysynni Valley and the Cambrian Coast railway.
-
D.
Towyn
Towyn is a coastal town in North Wales known for its holiday parks, caravan sites, and seaside tourism.
-
E.
Trembowla
Trembowla is a historic town in western Ukraine, known for its medieval castle and its past significance within the Polish–Lithuanian Commonwealth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:37 a.m.