Triple
T7403773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puffing Billy |
E170814
|
entity |
| Predicate | hasBoilerType |
P47501
|
FINISHED |
| Object | cylindrical boiler |
—
|
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: cylindrical boiler | Statement: [Puffing Billy, hasBoilerType, cylindrical boiler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoilerType Context triple: [Puffing Billy, hasBoilerType, cylindrical boiler]
-
A.
boilerType
chosen
Indicates the specific kind or category of boiler associated with an entity, such as its design, fuel source, or operating characteristics.
-
B.
hasBoilerPressure
Indicates that an entity possesses or is associated with a specific boiler pressure value.
-
C.
hasBoilingCenter
Indicates that something possesses or contains a central region or core area where boiling occurs.
-
D.
boilers
Indicates that an entity functions as or is equipped with boilers, typically for heating or generating steam.
-
E.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2701b108190be39174d4534f231 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.