Triple
T30948571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kennet Avenue |
E788468
|
entity |
| Predicate | hasNumberOfStonesOriginally |
P19192
|
FINISHED |
| Object | approximately 100 pairs of stones |
—
|
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: approximately 100 pairs of stones | Statement: [West Kennet Avenue, hasNumberOfStonesOriginally, approximately 100 pairs of stones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfStonesOriginally Context triple: [West Kennet Avenue, hasNumberOfStonesOriginally, approximately 100 pairs of stones]
-
A.
usesOriginalStones
Indicates that something is constructed or preserved using the same stones that were part of the original structure or artifact.
-
B.
numberOfStones
chosen
Indicates the quantitative count of stones associated with a given entity or context.
-
C.
hasMaterialOfStones
Indicates that something is composed of or contains a particular type or set of stones as its material.
-
D.
casingStonesPresent
Indicates that the outer protective or decorative casing stones are present on a structure or object.
-
E.
hasRegionalStone
Indicates that something possesses or is associated with a characteristic stone specific to a particular region.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 29, 2026, 8:53 p.m.