Triple
T36543638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast5 Netball World Series |
E901084
|
entity |
| Predicate | hasOfficialRules |
P6248
|
FINISHED |
| Object | Fast5 ruleset defined by World Netball |
—
|
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: Fast5 ruleset defined by World Netball | Statement: [Fast5 Netball World Series, hasOfficialRules, Fast5 ruleset defined by World Netball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialRules Context triple: [Fast5 Netball World Series, hasOfficialRules, Fast5 ruleset defined by World Netball]
-
A.
hasRulebook
chosen
Indicates that one entity possesses, is governed by, or is associated with a specific rulebook.
-
B.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
C.
hasSpecialRules
Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
-
D.
areOfficialIn
Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
-
E.
hasVenueRules
Indicates that specific rules or policies are associated with, or apply to, a particular venue.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:11 p.m.