Triple
T3213879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lankan Moors |
E67344
|
entity |
| Predicate | notableEconomicRole |
P2223
|
FINISHED |
| Object | urban commerce in 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: urban commerce in Sri Lanka | Statement: [Sri Lankan Moors, notableEconomicRole, urban commerce in Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEconomicRole Context triple: [Sri Lankan Moors, notableEconomicRole, urban commerce in Sri Lanka]
-
A.
hasEconomicRole
chosen
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
B.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
C.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
D.
notableBusinessType
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
-
E.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.