Triple
T19980504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barony of Forth |
E493803
|
entity |
| Predicate | timePeriodOfDialectFlourishing |
P103957
|
FINISHED |
| Object | late medieval period |
—
|
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: late medieval period | Statement: [Barony of Forth, timePeriodOfDialectFlourishing, late medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfDialectFlourishing Context triple: [Barony of Forth, timePeriodOfDialectFlourishing, late medieval period]
-
A.
flourishedDuring
Indicates that an entity was active, thriving, or at its peak during a specified time period or era.
-
B.
vernacularLanguagePeriod
chosen
Indicates the time span during which a particular vernacular (locally spoken) language was in use or predominant in a given context.
-
C.
historicalDialect
Indicates that one dialect is a historically earlier or ancestral form of another dialect.
-
D.
historicalPeriodOfFluency
Indicates the time period during which an entity was fluent or actively proficient in a particular language or skill.
-
E.
historicalPrestigeDialect
Indicates that a dialect has traditionally been regarded as prestigious or high-status within a historical or cultural context.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d12d968819081e315ec4585cd9f |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:28 p.m.