Triple
T3302141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramillies |
E69359
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hannut |
E295670
|
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: Hannut | Statement: [Ramillies, locatedNear, Hannut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannut Context triple: [Ramillies, locatedNear, Hannut]
-
A.
Hannut
chosen
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
B.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
-
C.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
D.
Haselünne
Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
-
E.
Demme
Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a9450481909f0d630e5593085e |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3df7f548190ada47f742df46545 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:11 p.m.