Triple
T9369150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryhill |
E225484
|
entity |
| Predicate | hasFootballCulture |
P3114
|
FINISHED |
| Object | junior 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: junior football | Statement: [Maryhill, hasFootballCulture, junior football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFootballCulture Context triple: [Maryhill, hasFootballCulture, junior football]
-
A.
supporterCulture
Indicates a relationship where an entity’s culture, norms, or practices are shaped by, aligned with, or strongly influenced by its supporters or fan base.
-
B.
hasNonLeagueFootballHistory
Indicates that an entity has a history of participation in football competitions outside the official league system.
-
C.
associatedWithStateSportsCulture
Indicates a relationship in which something is connected to, influenced by, or representative of a particular state’s sports traditions, practices, or fan culture.
-
D.
hasCulturalFeature
chosen
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
E.
hasCoffeeCulture
Indicates that a place or group is characterized by established social practices, traditions, and norms centered around the consumption and appreciation of coffee.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.