Triple
T102772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 MLS Supporters' Shield |
E2075
|
entity |
| Predicate | confersAdvantage |
P2188
|
FINISHED |
| Object | home-field advantage in MLS Cup Playoffs (if finalist) |
—
|
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: home-field advantage in MLS Cup Playoffs (if finalist) | Statement: [2021 MLS Supporters' Shield, confersAdvantage, home-field advantage in MLS Cup Playoffs (if finalist)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersAdvantage Context triple: [2021 MLS Supporters' Shield, confersAdvantage, home-field advantage in MLS Cup Playoffs (if finalist)]
-
A.
hasAdvantage
Indicates that one entity possesses a benefit, edge, or favorable position over another in a given context.
-
B.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
C.
hasBenefit
chosen
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
D.
strengthens
Indicates that one entity increases the power, effectiveness, or resilience of another.
-
E.
promotes
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.