Triple
T18276140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grave bridge |
E437739
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Grave |
—
|
NE NERFINISHED |
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: Grave | Statement: [Grave bridge, nearbySettlement, Grave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grave Context triple: [Grave bridge, nearbySettlement, Grave]
-
A.
Grave
chosen
Grave is a Dutch town in the province of North Brabant, historically notable for its strategic river crossing and well-preserved medieval fortifications.
-
B.
Grim
Grim is the personified Grim Reaper who, after losing a bet to two children, is forced to be their reluctant friend and companion in the animated series "The Grim Adventures of Billy & Mandy."
-
C.
Graveyard
"Graveyard" is a 2019 pop song by American singer Halsey, known for its emotional lyrics about unhealthy love and self-sacrifice.
-
D.
Dread
Dread is a British science fiction horror film known for its psychological intensity and adaptation of a Clive Barker short story.
-
E.
Grave Sight
Grave Sight is a mystery novel with paranormal elements by Charlaine Harris, introducing a heroine who can sense how people died.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.