Triple
T22304925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Célia Šašić |
E551349
|
entity |
| Predicate | clubNumberAt1FFCFrankfurt |
P147986
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Célia Šašić, clubNumberAt1FFCFrankfurt, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberAt1FFCFrankfurt Context triple: [Célia Šašić, clubNumberAt1FFCFrankfurt, 13]
-
A.
clubNumberAtBayernMunich
Indicates the jersey number a player wears or wore while playing for Bayern Munich.
-
B.
clubNumberAtPSG
Indicates the specific jersey number a player wears or wore while playing for Paris Saint-Germain (PSG).
-
C.
FrankfurtGalaxyScore
Indicates a scoring relationship that assigns or records a performance or rating value associated with the Frankfurt Galaxy (e.g., in a game, season, or evaluation context).
-
D.
clubNumberAtBarcelona
Indicates the specific jersey number a player wore while playing for FC Barcelona.
-
E.
foundedFootballClub
Indicates that a person or entity established or created a particular football club.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15726b7e48190b7636db01dbb8a40 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e75dc7b08081909d64441e979c2fa4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 8:41 p.m.