Triple
T3627558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldham Athletic A.F.C. |
E76875
|
entity |
| Predicate | reachedFA CupSemiFinal |
P49628
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Oldham Athletic A.F.C., reachedFA CupSemiFinal, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reachedFA CupSemiFinal Context triple: [Oldham Athletic A.F.C., reachedFA CupSemiFinal, 1990]
-
A.
FA CupTitle
Indicates that an entity has won the FA Cup title in a given season or competition.
-
B.
reachedWorldCupRoundOf16
Indicates that an entity advanced to and participated in the Round of 16 stage of a FIFA World Cup tournament.
-
C.
worldCupSemiFinal
Indicates that an event is a semi-final match in the FIFA World Cup tournament, determining which teams advance to the final.
-
D.
hasSemifinalGame
Indicates that an entity is associated with a specific game that takes place in the semifinal round of a competition or tournament.
-
E.
wonScottishCup
Indicates that the subject achieved victory in the Scottish Cup competition.
- F. None of above. chosen
Provenance (4 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.