Triple
T20243723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stratford, New Zealand |
E498366
|
entity |
| Predicate | hasShakespeareTheme |
P139370
|
FINISHED |
| Object | street names |
—
|
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: street names | Statement: [Stratford, New Zealand, hasShakespeareTheme, street names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShakespeareTheme Context triple: [Stratford, New Zealand, hasShakespeareTheme, street names]
-
A.
hasHamlet
Indicates that an entity possesses, contains, or is associated with a hamlet (a small settlement).
-
B.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
C.
hasStagePlayCounterpart
Indicates that one work has a corresponding or equivalent version in the form of a stage play.
-
D.
placesShakespeareAs
Indicates that something assigns or interprets Shakespeare in a particular role, category, or position.
-
E.
hasFestivalTheme
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67170aa248190922fc845d2265ae3 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:40 p.m.