Triple
T2603192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merseyside derby |
E58592
|
entity |
| Predicate | firstMatchScore |
P36160
|
FINISHED |
| Object | 3–0 to Everton |
—
|
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: 3–0 to Everton | Statement: [Merseyside derby, firstMatchScore, 3–0 to Everton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMatchScore Context triple: [Merseyside derby, firstMatchScore, 3–0 to Everton]
-
A.
firstMeetingScore
chosen
Indicates the evaluated quality or outcome of an entity’s initial meeting or first interaction with another entity.
-
B.
openingMatchScore
Indicates the degree of similarity or compatibility between an opening (e.g., a position, role, or opportunity) and a given candidate or item, typically expressed as a numeric score.
-
C.
firstScoreTeam
Indicates which team scored first in a game or match.
-
D.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
E.
finalMatchType
Indicates the specific category or format of the concluding or decisive match in a series or competition.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd48241c48190bc80418212e33bc8 |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.