Triple
T16469726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDESSA |
E400027
|
entity |
| Predicate | hasClientOrUser |
P122905
|
FINISHED |
| Object | football clubs in El Salvador |
—
|
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: football clubs in El Salvador | Statement: [EDESSA, hasClientOrUser, football clubs in El Salvador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientOrUser Context triple: [EDESSA, hasClientOrUser, football clubs in El Salvador]
-
A.
hasClient
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
B.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
C.
hasUserService
Indicates that an entity is associated with or utilizes a particular user-related service.
-
D.
hasNotableClientType
Indicates that an entity has clients belonging to a particular notable or distinguished category or type.
-
E.
hasClientGroup
Indicates that an entity is associated with, or belongs to, a particular group of clients.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:11 a.m.