Triple
T27064144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 31 of the Constitution of Ireland |
E685126
|
entity |
| Predicate | hasOriginalTextIn |
P3563
|
FINISHED |
| Object | Irish language |
—
|
NE NERFINISHED |
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: Irish language | Statement: [Article 31 of the Constitution of Ireland, hasOriginalTextIn, Irish language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalTextIn Context triple: [Article 31 of the Constitution of Ireland, hasOriginalTextIn, Irish language]
-
A.
hasOriginalPart
Indicates that an entity includes a component or segment that is part of its initial, original composition.
-
B.
originalText
chosen
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
C.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
D.
hasOriginalCharacter
Indicates that an entity includes, features, or is associated with an original character distinct from pre-existing or canonical characters.
-
E.
hasTextFrom
Indicates that one entity contains, is derived from, or directly uses the textual content originating from another entity.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:23 a.m.