Triple
T11481807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauricio Funes |
E272167
|
entity |
| Predicate | legalStatusInElSalvador |
P99523
|
FINISHED |
| Object | fugitive from Salvadoran justice |
—
|
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: fugitive from Salvadoran justice | Statement: [Mauricio Funes, legalStatusInElSalvador, fugitive from Salvadoran justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInElSalvador Context triple: [Mauricio Funes, legalStatusInElSalvador, fugitive from Salvadoran justice]
-
A.
legalStatusInPanama
Indicates the legal status or recognition of an entity within the jurisdiction of Panama.
-
B.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
C.
legalStatusInMyanmar
Indicates the legal status or standing that an entity holds under the laws and regulations of Myanmar.
-
D.
legalStatusInEsperantoCommunity
Indicates the legal recognition or standing an entity holds within the Esperanto-speaking community or its institutions.
-
E.
legalStatusOfCuba
Indicates the legal or diplomatic status that an entity or action has specifically in relation to Cuba.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1d86b88190b180f6b0d0a27029 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:36 p.m.