Triple
T15268244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace |
E364953
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hope |
E845913
|
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: Hope | Statement: [Palace, notableWork, Hope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hope Context triple: [Palace, notableWork, Hope]
-
A.
Hope
Hope is a small village in the Peak District of Derbyshire, England, known for its scenic surroundings and role as a local tourist and walking hub.
-
B.
Hope
"Hope" is a popular hip hop single by Twista featuring Faith Evans that reflects on struggle, resilience, and aspirations for a better future.
-
C.
Hope
Hope is a small town in southwestern British Columbia, Canada, known as a key transportation hub at the eastern end of the Fraser Valley and the gateway to several major highways through the mountains.
-
D.
Hope
chosen
"Hope" is a famous allegorical painting by British artist George Frederic Watts, depicting a blindfolded woman clinging to a lyre with a single remaining string as a symbol of perseverance amid despair.
-
E.
Hope
Hope is an EP whose title track and overall theme center on optimism and emotional resilience.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee602067c81908b1aaaca8871eeb9 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.