Triple
T9111102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baggage Claim |
E218600
|
entity |
| Predicate | partOfDecade |
P7068
|
FINISHED |
| Object | 2010s American films |
—
|
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: 2010s American films | Statement: [Baggage Claim, partOfDecade, 2010s American films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfDecade Context triple: [Baggage Claim, partOfDecade, 2010s American films]
-
A.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
B.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
C.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
D.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
E.
decadeDefinition
Indicates that one entity specifies or defines the meaning, scope, or characteristics of a particular decade associated with another 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.