Triple
T5893450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark |
E131045
|
entity |
| Predicate | hasMouthLocation |
P1008
|
FINISHED |
| Object | Dintel |
E554115
|
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: Dintel | Statement: [Mark, hasMouthLocation, Dintel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dintel Context triple: [Mark, hasMouthLocation, Dintel]
-
A.
Dintel
chosen
The Dintel is a river in the Dutch province of North Brabant that flows into the Hollands Diep near the town of Mark.
-
B.
Pylon
Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
-
C.
Duvar
Duvar is a notable literary work by Turkish poet and writer Attilâ İlhan, reflecting his early modernist and socially engaged style.
-
D.
Wallpavillon
Wallpavillon is an ornate Baroque pavilion of the Dresden Zwinger complex, known for its richly decorated façade and central position in the palace’s architectural ensemble.
-
E.
Pillar
Pillar is a prominent mountain and popular hiking peak in England’s Lake District, known for its rugged crags and classic climbing routes.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b5c68481909fdcba428238c74d |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e385ac5c8190ad8824db416ea009 |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:58 p.m.