Triple
T19980486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barony of Forth |
E493803
|
entity |
| Predicate | hasHistoricalRegionType |
P138147
|
FINISHED |
| Object | English-speaking colony |
—
|
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: English-speaking colony | Statement: [Barony of Forth, hasHistoricalRegionType, English-speaking colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalRegionType Context triple: [Barony of Forth, hasHistoricalRegionType, English-speaking colony]
-
A.
isHistoricRegionFor
Indicates that one entity serves as a historically recognized region associated with, or significant to, another entity.
-
B.
hasHistoricRegionStyle
Indicates that an entity exhibits or is characterized by the architectural or cultural style associated with a particular historic region.
-
C.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
D.
isInHistoricRegion
Indicates that an entity is located within or belongs to a historically recognized geographic region.
-
E.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
- 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_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. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.