Triple
T3858036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Front for Democracy and Justice |
E90065
|
entity |
| Predicate | youthWingStatus |
P52389
|
FINISHED |
| Object | closely controlled |
—
|
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: closely controlled | Statement: [People's Front for Democracy and Justice, youthWingStatus, closely controlled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthWingStatus Context triple: [People's Front for Democracy and Justice, youthWingStatus, closely controlled]
-
A.
youthWing
Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
-
B.
youthWingName
Indicates the name assigned to the youth wing or youth branch associated with an organization, group, or party.
-
C.
youthWingAbbreviation
Indicates the abbreviated name used to refer to a political party’s youth wing.
-
D.
hasStudentWing
Indicates that an organization or institution includes a dedicated student wing or student-affiliated subdivision.
-
E.
hasVolunteerStatus
Indicates that an entity holds a particular volunteer-related status or role within a specified context.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:19 p.m.