Triple
T37582509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chung King |
E935009
|
entity |
| Predicate | hasSmokeStacks |
P94999
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chung King, hasSmokeStacks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmokeStacks Context triple: [Chung King, hasSmokeStacks, yes]
-
A.
smokestacks
chosen
Indicates the presence or involvement of smokestacks, typically as structures emitting smoke or exhaust as part of an industrial or energy-related process.
-
B.
hasChimneys
Indicates that one entity possesses or is equipped with one or more chimneys.
-
C.
smokeExitsFrom
Indicates that smoke emerges or flows out from a particular source or location.
-
D.
smokeSystem
Indicates that an entity is equipped with or associated with a smoke-generating system (e.g., for signaling, testing, or special effects).
-
E.
hasSmokehouse
Indicates that one entity possesses, contains, or includes a smokehouse as part of its facilities or properties.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.