Triple
T23537407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avoca, County Wicklow, Ireland |
E577636
|
entity |
| Predicate | poetAssociated |
P152712
|
FINISHED |
| Object | Thomas Moore |
—
|
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: Thomas Moore | Statement: [Avoca, County Wicklow, Ireland, poetAssociated, Thomas Moore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poetAssociated Context triple: [Avoca, County Wicklow, Ireland, poetAssociated, Thomas Moore]
-
A.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
B.
poemAuthor
Indicates that one entity is the author or creator of a poem represented by the other entity.
-
C.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
-
D.
usedByPoet
Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
-
E.
poet
Indicates that an entity creates poetry or is recognized for engaging in the activity of writing poems.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1831688190ac06b84729bce160 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:10 p.m.