Triple
T6560714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krimpenerwaard |
E152574
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Haastrecht |
E166828
|
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: Haastrecht | Statement: [Krimpenerwaard, containsSettlement, Haastrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haastrecht Context triple: [Krimpenerwaard, containsSettlement, Haastrecht]
-
A.
Haastrecht
chosen
Haastrecht is a small historic town in the Dutch province of South Holland, known for its picturesque canalside setting and traditional Dutch architecture.
-
B.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
-
C.
Haki
Haki is the given name of Haki R. Madhubuti, a prominent African-American poet, publisher, and leading figure of the Black Arts Movement.
-
D.
Haql
Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
-
E.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.