Triple
T33593119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne Carmichael |
E860482
|
entity |
| Predicate | keyLocationOfAffair |
P176943
|
FINISHED |
| Object | Chapel in the Houses of Parliament |
—
|
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: Chapel in the Houses of Parliament | Statement: [Yvonne Carmichael, keyLocationOfAffair, Chapel in the Houses of Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyLocationOfAffair Context triple: [Yvonne Carmichael, keyLocationOfAffair, Chapel in the Houses of Parliament]
-
A.
keyLocationVisited
Indicates that a specific important or designated location has been visited.
-
B.
keyPosition
Indicates the specific location or placement of a key within a defined space or system.
-
C.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
D.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
E.
keyClue
Indicates that something serves as an essential hint or piece of information needed to understand, solve, or unlock another related element.
- F. None of above. chosen
Provenance (4 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:40 a.m.