Triple
T8350452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lanka Freedom Party |
E196143
|
entity |
| Predicate | hasStrongSupportBase |
P60372
|
FINISHED |
| Object | rural population of Sri Lanka |
—
|
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: rural population of Sri Lanka | Statement: [Sri Lanka Freedom Party, hasStrongSupportBase, rural population of Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongSupportBase Context triple: [Sri Lanka Freedom Party, hasStrongSupportBase, rural population of Sri Lanka]
-
A.
hasLargeSupporterBase
Indicates that an entity is backed or favored by a relatively large number of supporters.
-
B.
hasSupportBaseIn
chosen
Indicates that one entity maintains an operational or organizational base of support located in another entity.
-
C.
hasSupportBase
Indicates that one entity serves as the supporting base or foundation upon which another entity rests, is mounted, or is structurally stabilized.
-
D.
strongestSupportRegion
Indicates the region where an entity receives its highest level of support compared to all other regions.
-
E.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80181ca48190bbf2e6a6aae80d69 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.