Triple
T5438552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greyfriars Kirkyard |
E122071
|
entity |
| Predicate | eraOfMostMonuments |
P30588
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Greyfriars Kirkyard, eraOfMostMonuments, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMostMonuments Context triple: [Greyfriars Kirkyard, eraOfMostMonuments, 17th century]
-
A.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
B.
oldestStandingStructureIn
Indicates that one entity is the oldest still-existing structure located within the specified place or region.
-
C.
eraOfMostBurials
chosen
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
-
D.
builtMonument
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
-
E.
eraOfMajorConstruction
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.