Triple
T32633567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People’s Alliance (Sri Lanka) |
E834286
|
entity |
| Predicate | successorAlliance |
P199621
|
FINISHED |
| Object | United People’s Freedom Alliance |
—
|
NE NERFINISHED |
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: United People’s Freedom Alliance | Statement: [People’s Alliance (Sri Lanka), successorAlliance, United People’s Freedom Alliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAlliance Context triple: [People’s Alliance (Sri Lanka), successorAlliance, United People’s Freedom Alliance]
-
A.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
B.
successorColony
Indicates that one colony directly follows and replaces another colony as its historical or political successor.
-
C.
successorForce
Indicates that one force or power succeeds, replaces, or takes over the role of another force.
-
D.
successorCompanion
Indicates that one entity serves as the subsequent or replacement companion to another entity in a sequence or timeline.
-
E.
successorEngine
Indicates that one engine directly follows and replaces another in a sequence or version lineage.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
| PDg | Predicate description generation | batch_69ff490096388190832a90e9abbc8d81 |
completed | May 9, 2026, 2:47 p.m. |
Created at: May 1, 2026, 1:07 a.m.