Triple
T2501837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farabundo Martí National Liberation Front |
E52481
|
entity |
| Predicate | firstPresidentialVictory |
P17852
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Farabundo Martí National Liberation Front, firstPresidentialVictory, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPresidentialVictory Context triple: [Farabundo Martí National Liberation Front, firstPresidentialVictory, 2009]
-
A.
isFirstMajorBattleOf
Indicates that a battle is the earliest significant or primary large-scale engagement within a particular war, campaign, or conflict.
-
B.
yearOfMajorVictory
Indicates the specific year in which a major victory associated with the subject occurred.
-
C.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
D.
wonPresidentialElection
chosen
Indicates that one entity achieved victory over others in a presidential election.
-
E.
wonFirstDemocraticElection
Indicates that the subject achieved victory in the first democratic election held for a given office, position, or context.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1c9f80c8190b40ada396e184e75 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.