Triple
T1924948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philipsdam |
E40807
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Volkerak |
E20540
|
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: Volkerak | Statement: [Philipsdam, crosses, Volkerak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volkerak Context triple: [Philipsdam, crosses, Volkerak]
-
A.
Volkerak
chosen
Volkerak is a lake and former estuarine channel in the southwestern Netherlands that forms part of the country’s major Rhine–Meuse–Scheldt waterway system.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
D.
Vereker
Vereker is an Anglo-Irish noble family name historically associated with the Viscounts Gort and other members of the British and Irish aristocracy.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb260da088190ac53bfc9437e112b |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb0be848190a492ed8fa3b600ea |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:35 p.m.