Triple
T24942817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Field of Empty Chairs |
E623504
|
entity |
| Predicate | hasSmallerChairs |
P157262
|
FINISHED |
| Object | chairs representing child victims |
—
|
LITERAL 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: chairs representing child victims | Statement: [Field of Empty Chairs, hasSmallerChairs, chairs representing child victims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallerChairs Context triple: [Field of Empty Chairs, hasSmallerChairs, chairs representing child victims]
-
A.
hasChairs
Indicates that one entity possesses, contains, or is equipped with one or more chairs.
-
B.
chairAlsoChairs
Indicates that an entity who chairs one group, meeting, or committee also serves as the chair of another.
-
C.
capacityPerChair
Indicates the amount of capacity (such as weight, volume, or occupancy) that is assigned to or supported by each individual chair.
-
D.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
-
E.
boardChair
Indicates that one entity serves as the chairperson (leader) of the board of directors of another entity.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423dbea9881909b32c92c4f1eda9a |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:31 a.m.