Triple
T11522801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günzburg |
E273207
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Lannion |
E685275
|
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: Lannion | Statement: [Günzburg, hasTwinTown, Lannion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lannion Context triple: [Günzburg, hasTwinTown, Lannion]
-
A.
Lannion
chosen
Lannion is a historic town in Brittany, northwestern France, known as a local administrative center and gateway to the Pink Granite Coast.
-
B.
Amlwch
Amlwch is a small coastal town in northern Anglesey, Wales, historically known for its copper mining and maritime heritage.
-
C.
Connah's Quay
Connah's Quay is a large industrial town and community on the River Dee in north-east Wales, known for its port, power station, and role as a residential and commercial hub in Flintshire.
-
D.
Porthmadog
Porthmadog is a coastal town in Gwynedd, Wales, known as a gateway to Snowdonia and for its historic harbour and heritage railways.
-
E.
Pwllheli
Pwllheli is a coastal market town and popular seaside resort on the Llŷn Peninsula in Gwynedd, northwest Wales.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457b970b88190869cb0b80aca5c4a |
completed | May 1, 2026, 7:35 a.m. |
Created at: April 8, 2026, 9:37 p.m.