Triple
T11149835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consulate General of Sri Lanka in Los Angeles |
E263755
|
entity |
| Predicate | offersInformationOn |
P98094
|
FINISHED |
| Object | Sri Lankan economic opportunities |
—
|
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: Sri Lankan economic opportunities | Statement: [Consulate General of Sri Lanka in Los Angeles, offersInformationOn, Sri Lankan economic opportunities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersInformationOn Context triple: [Consulate General of Sri Lanka in Los Angeles, offersInformationOn, Sri Lankan economic opportunities]
-
A.
providedInformationOn
Indicates that one entity supplied or communicated specific information or details to another entity.
-
B.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
C.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
D.
providedInformationTo
Indicates that one entity has supplied or communicated information to another entity.
-
E.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.