Triple
T9641053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobswoude |
E233066
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Alkemade |
E209245
|
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: Alkemade | Statement: [Jacobswoude, borderedBy, Alkemade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alkemade Context triple: [Jacobswoude, borderedBy, Alkemade]
-
A.
Alkemade
chosen
Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
-
B.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
C.
Logumer Vorwerk
Logumer Vorwerk is a district of the seaport city of Emden in Lower Saxony, Germany.
-
D.
Dervan
Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
-
E.
Kalmus
Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1824e68a0819089c8e6e414575c5f |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.