Triple
T10102453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protestant church of Abbenes |
E216234
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Abbenes |
E40966
|
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: Abbenes | Statement: [Protestant church of Abbenes, locatedIn, Abbenes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbenes Context triple: [Protestant church of Abbenes, locatedIn, Abbenes]
-
A.
Abbenes
chosen
Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
B.
Abele
Abele is a surname most notably associated with Julian Abele, a pioneering African American architect who contributed to the design of many prominent buildings in the early 20th century.
-
C.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
D.
Abunayyan
Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
-
E.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd099c21c819097aac4f0f168a2da |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:02 p.m.