Triple
T3270600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Prussia |
E68636
|
entity |
| Predicate | containedCity |
P8465
|
FINISHED |
| Object | Thorn |
E237941
|
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: Thorn | Statement: [West Prussia, containedCity, Thorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorn Context triple: [West Prussia, containedCity, Thorn]
-
A.
Thorn
chosen
Thorn is a historic city on the Vistula River, now known as Toruń in Poland, renowned for its well-preserved medieval architecture and as the birthplace of astronomer Nicolaus Copernicus.
-
B.
Jack Firebrace
Jack Firebrace is a compassionate, working-class tunneller in Sebastian Faulks’s World War I novel "Birdsong," whose experiences highlight the human cost of the conflict.
-
C.
Thorns
Thorns is the commonly used shorthand name for Portland Thorns FC, a professional women's soccer team based in Portland, Oregon.
-
D.
Thorns
Thorns is a science fiction novel by Robert Silverberg that explores themes of identity, trauma, and media exploitation in a dystopian future.
-
E.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.