Triple
T11509198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convairliner series |
E272864
|
entity |
| Predicate | typicalServiceEntryDecade |
P99859
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Convairliner series, typicalServiceEntryDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalServiceEntryDecade Context triple: [Convairliner series, typicalServiceEntryDecade, 1950s]
-
A.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
B.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
C.
officeStartDecade
Indicates the decade in which an entity began holding a particular office or position.
-
D.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
E.
establishedInDecade
Indicates that an entity was founded, created, or came into existence during a specific decade.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db65eb081908613a1002c6a4fb4 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.