Triple
T37465073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frizz Kindleroost |
E931013
|
entity |
| Predicate | zoneAffected |
P2160
|
FINISHED |
| Object | Deck |
—
|
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: Deck | Statement: [Frizz Kindleroost, zoneAffected, Deck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneAffected Context triple: [Frizz Kindleroost, zoneAffected, Deck]
-
A.
zoneAuthority
Indicates that an entity has official control, responsibility, or decision-making power over a specific zone or area.
-
B.
zone
chosen
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
C.
zoneType
Indicates the classification or category of a zone that specifies its type or functional designation.
-
D.
zoneStatus
Indicates the current operational or condition state assigned to a specific zone within a system or environment.
-
E.
timeZoneImplication
Indicates that one time zone condition or setting logically leads to, constrains, or determines another time zone condition or setting.
- F. None of above.
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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.