Triple
T23114973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acla |
E576723
|
entity |
| Predicate | approximateEstablishmentDecade |
P68867
|
FINISHED |
| Object | 1510s |
—
|
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: 1510s | Statement: [Acla, approximateEstablishmentDecade, 1510s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateEstablishmentDecade Context triple: [Acla, approximateEstablishmentDecade, 1510s]
-
A.
establishedInDecade
chosen
Indicates that an entity was founded, created, or came into existence during a specific decade.
-
B.
foundingDecade
Indicates the decade during which an entity (such as an organization, institution, or company) was founded.
-
C.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
D.
officeStartDecade
Indicates the decade in which an entity began holding a particular office or position.
-
E.
approximateOpeningYear
Indicates the estimated or roughly determined year in which something (such as a facility, venue, or organization) began operating or opened.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e11e9dc819093c569f388ffd46b |
completed | April 29, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.