Triple
T222454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tráfico |
E4244
|
entity |
| Predicate | hasRivalSupporterGroups |
P3508
|
FINISHED |
| Object | LA Galaxy supporters |
—
|
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: LA Galaxy supporters | Statement: [El Tráfico, hasRivalSupporterGroups, LA Galaxy supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRivalSupporterGroups Context triple: [El Tráfico, hasRivalSupporterGroups, LA Galaxy supporters]
-
A.
hasSupporterGroup
chosen
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
-
B.
hasRivalryEmotion
Indicates that one entity feels rivalry-based emotions, such as competitive tension or antagonistic comparison, toward another entity.
-
C.
foundedAsRivalOf
Indicates that an entity was established specifically to compete with or challenge another entity.
-
D.
supporter
Indicates a relationship where one entity backs, advocates for, or provides assistance to another entity, often in an ongoing or affiliative way.
-
E.
divisionRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same division or subgroup within a larger organization or system.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.