Triple
T17627678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FSV Frankfurt |
E429890
|
entity |
| Predicate | traditionalTier |
P128326
|
FINISHED |
| Object | lower professional tiers of German football |
—
|
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: lower professional tiers of German football | Statement: [FSV Frankfurt, traditionalTier, lower professional tiers of German football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalTier Context triple: [FSV Frankfurt, traditionalTier, lower professional tiers of German football]
-
A.
traditionalLevel
Indicates the degree to which something adheres to established customs, practices, or traditions.
-
B.
traditionalBase
Indicates that one entity serves as the customary or historically established foundation or basis for another.
-
C.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
D.
traditionalSee
Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
-
E.
traditionalRule
Indicates that an entity follows, embodies, or is governed by a customary or long-established rule or norm.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbe3a308190a818d04f1a9b15f7 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:52 a.m.