Triple
T6104120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Province, Sri Lanka |
E136073
|
entity |
| Predicate | hasEconomicContributionRankInSriLanka |
P68161
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Western Province, Sri Lanka, hasEconomicContributionRankInSriLanka, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicContributionRankInSriLanka Context triple: [Western Province, Sri Lanka, hasEconomicContributionRankInSriLanka, 1]
-
A.
hasEconomyRankContext
Indicates the contextual basis or framework within which an entity’s economy rank is defined, interpreted, or compared.
-
B.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
C.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
ethnicStatusInSriLanka
Indicates the ethnic classification or status a person or group holds within the sociopolitical context of Sri Lanka.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.