Triple
T21106908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfry of Thuin |
E520070
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Thuin |
—
|
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: Thuin | Statement: [Belfry of Thuin, locatedIn, Thuin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thuin Context triple: [Belfry of Thuin, locatedIn, Thuin]
-
A.
Thuin
chosen
Thuin is a historic town in the Walloon region of Belgium, known for its medieval belfry and picturesque setting along the Sambre River.
-
B.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
C.
Suai
Suai is a coastal town in southwestern East Timor that serves as a regional hub near the Timor Sea and the Indonesian border.
-
D.
Suai
Suai is an alternative name for the Kuy people, an indigenous ethnic group of mainland Southeast Asia known for their distinct language and cultural traditions.
-
E.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:53 p.m.