Triple
T21070029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearances |
E519078
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Clearances VII |
—
|
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: Clearances VII | Statement: [Clearances, hasPart, Clearances VII]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearances VII Context triple: [Clearances, hasPart, Clearances VII]
-
A.
Clearances
chosen
"Clearances" is a sonnet sequence by Seamus Heaney that reflects on his relationship with his mother and themes of memory, loss, and familial intimacy.
-
B.
Special Night Squads
The Special Night Squads were elite British-Jewish commando units formed in Mandatory Palestine in 1938 under Orde Wingate to conduct night raids and counter-insurgency operations against Arab militants.
-
C.
Clampdown
"Clampdown" is a politically charged punk rock song by The Clash, featured on their landmark 1979 album *London Calling*.
-
D.
Clearing
Clearing is a residential and industrial neighborhood on the southwest side of Chicago, known for encompassing and surrounding Midway International Airport.
-
E.
Clearing
"Clearing" is a large-scale photographic work by German artist Thomas Demand, known for its meticulously constructed paper model of a forest scene that blurs the line between reality and fabrication.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb7b1d081909363c8bff785164b |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:46 p.m.