Triple
T2082238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Discovery |
E45268
|
entity |
| Predicate | openingType |
P33785
|
FINISHED |
| Object | re-theming of existing Future World area |
—
|
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: re-theming of existing Future World area | Statement: [World Discovery, openingType, re-theming of existing Future World area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingType Context triple: [World Discovery, openingType, re-theming of existing Future World area]
-
A.
openingDetail
chosen
Indicates the specific manner, context, or characteristics of how an opening (such as a beginning, start, or initial access point) occurs or is carried out between entities.
-
B.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
C.
openingMechanism
Indicates the method or mechanism by which an object or structure is opened or made accessible.
-
D.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
E.
openingAnswer
Indicates that an entity provides an initial or first response in a dialogue, interaction, or sequence of answers.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.