Triple
T32753375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ériu |
E837554
|
entity |
| Predicate | asksFromInvaders |
P175508
|
FINISHED |
| Object | that the island be named after her |
—
|
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: that the island be named after her | Statement: [Ériu, asksFromInvaders, that the island be named after her]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asksFromInvaders Context triple: [Ériu, asksFromInvaders, that the island be named after her]
-
A.
associatedInvaders
Indicates that certain invaders are linked or connected to a given entity, context, or event in a relevant way.
-
B.
numberOfInvaders
Indicates the quantity of entities classified as invaders associated with a given subject or context.
-
C.
cellsTakenFrom
Indicates that cells have been removed or extracted from a particular source entity.
-
D.
methodOfInvasion
Indicates the specific way or technique by which an invasion is carried out.
-
E.
asksOf
Indicates that one entity poses a question, request, or inquiry to another 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:12 a.m.