Triple
T26771931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownshill Dolmen |
E675101
|
entity |
| Predicate | nationalMonumentNumber |
P173209
|
FINISHED |
| Object | 74 |
—
|
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: 74 | Statement: [Brownshill Dolmen, nationalMonumentNumber, 74]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalMonumentNumber Context triple: [Brownshill Dolmen, nationalMonumentNumber, 74]
-
A.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
B.
nationalMonumentDesignationYear
Indicates the year in which an entity was officially designated as a national monument.
-
C.
nationalNaturalLandmarkDesignationYear
Indicates the year in which a place or feature was officially designated as a National Natural Landmark.
-
D.
isNationalMemorialOf
Indicates that a site, structure, or monument has been officially designated as a national memorial commemorating or representing a particular entity, event, or subject.
-
E.
yearDesignatedNationalMemorial
Indicates the year in which something was officially designated as a national memorial.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 4:02 a.m.