Triple
T2774551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupen-Malmedy region |
E61536
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Amel |
E192746
|
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: Amel | Statement: [Eupen-Malmedy region, hasMunicipality, Amel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amel Context triple: [Eupen-Malmedy region, hasMunicipality, Amel]
-
A.
Amel
chosen
Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
-
B.
Amreya
Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
-
C.
Amee
Amee is a character portrayed by Katie Lucas, likely within a film or television production.
-
D.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
-
E.
Osanna
Osanna is a choral movement within J.S. Bach’s Mass in B minor, known for its exuberant double-chorus writing and festive character.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc058c8a48190bbd151251678b4ee |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.