Triple
T15040341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varnhem Abbey |
E378582
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Skara |
E472576
|
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: Skara | Statement: [Varnhem Abbey, near, Skara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skara Context triple: [Varnhem Abbey, near, Skara]
-
A.
Skara
chosen
Skara is a historic Swedish town known for its medieval cathedral and status as one of the country's oldest urban settlements.
-
B.
Gundrak
Gundrak is a troll-themed dungeon instance in World of Warcraft set in the Zul'Drak region of Northrend, featuring the Drakkari empire and their loa gods.
-
C.
Elgol
Elgol is a small, scenic village on the Isle of Skye in Scotland, known for its dramatic coastal views and boat trips to the Cuillin mountains.
-
D.
Dargun
Dargun is a small town in northeastern Germany known for its historic monastery and castle complex set amid the rural lake and hill landscape of Mecklenburg.
-
E.
Melaghar
Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de388508190bb0ecc04740cbe15 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.