Triple
T1474340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrewsbury |
E30803
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Tulle |
E12829
|
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: Tulle | Statement: [Shrewsbury, hasTwinTown, Tulle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulle Context triple: [Shrewsbury, hasTwinTown, Tulle]
-
A.
Tulle
chosen
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
B.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
C.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
D.
Cailliau
Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
-
E.
Meliae
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6011d248190988380eca4ecf514 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a98b4c819082bd7aa8e0c82de9 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.