Triple
T18249768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Dhùghaill |
E437054
|
entity |
| Predicate | hasSpaceBetweenElements |
P131019
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mac Dhùghaill, hasSpaceBetweenElements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpaceBetweenElements Context triple: [Mac Dhùghaill, hasSpaceBetweenElements, yes]
-
A.
hasMeanSpacing
Indicates the average distance or interval between repeated or adjacent elements in a pattern, structure, or arrangement.
-
B.
usesSpace
Indicates that one entity occupies, consumes, or makes use of physical or conceptual space associated with another entity.
-
C.
hasStopSpacing
Indicates that there is a specified distance or interval between consecutive stops in a route or sequence.
-
D.
hasSecondarySpace
Indicates that an entity possesses or is associated with an additional, subordinate, or auxiliary space beyond its primary one.
-
E.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8065b08190ae8d37102141f470 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:33 a.m.