Triple
T29984670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Sajik Stadium |
E761695
|
entity |
| Predicate | hasScoreboardUpgrade |
P76898
|
FINISHED |
| Object | scoreboard modernization in the 2000s |
—
|
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: scoreboard modernization in the 2000s | Statement: [Busan Sajik Stadium, hasScoreboardUpgrade, scoreboard modernization in the 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoreboardUpgrade Context triple: [Busan Sajik Stadium, hasScoreboardUpgrade, scoreboard modernization in the 2000s]
-
A.
scoreboardUpgrade
chosen
Indicates that an existing scoreboard is being improved, enhanced, or replaced with a more advanced version.
-
B.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
C.
hasUpgradeSystem
Indicates that an entity includes or is equipped with a system for performing upgrades or enhancements.
-
D.
hasUpgrade
Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
-
E.
canBePoweredUp
Indicates that an entity has the capability to receive additional power or energy, enhancing its state or functionality.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 29, 2026, 6:36 p.m.