Triple
T21301265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaghmore stone circles |
E525067
|
entity |
| Predicate | numberOfCairns |
P143651
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Beaghmore stone circles, numberOfCairns, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCairns Context triple: [Beaghmore stone circles, numberOfCairns, 10]
-
A.
hasApproximateNumberOfCairns
Indicates an estimated or non-exact count of cairns associated with a given entity.
-
B.
hasApproximateNumberOfCaves
Indicates that an entity is associated with an estimated or non-exact number of caves.
-
C.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
-
D.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
E.
numberOfCays
Indicates the quantity of cays (small low-elevation islands or sandbanks) associated with or contained within a given geographic entity.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385c078881908a451be1a19a64c5 |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:05 p.m.