Triple
T4088308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twente |
E87641
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Regge |
E87642
|
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: Regge | Statement: [Twente, hasRiver, Regge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regge Context triple: [Twente, hasRiver, Regge]
-
A.
Regge
chosen
Regge is a small river in the eastern Netherlands that flows through the province of Overijssel and is a tributary of the Vecht.
-
B.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
C.
Raschi
Raschi is an Italian surname most notably associated with Vic Raschi, a star pitcher for the New York Yankees in the late 1940s and early 1950s.
-
D.
Rubbia
Rubbia is the surname of Carlo Rubbia, an Italian physicist and Nobel laureate known for his contributions to particle physics.
-
E.
Kretschmann
Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca899008190b5ada98bdb79639f |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6335c4819093538f261a5093b3 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.