Triple
T6408748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OASIS |
E127653
|
entity |
| Predicate | standardDeveloped |
P1371
|
FINISHED |
| Object | OData |
E182234
|
NE 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: OData | Statement: [OASIS, standardDeveloped, OData]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OData Context triple: [OASIS, standardDeveloped, OData]
-
A.
OData
chosen
OData (Open Data Protocol) is a standardized, REST-based protocol for querying and updating data over the web, commonly used to expose and consume interoperable APIs.
-
B.
Power BI REST API
Power BI REST API is a set of web services that enables programmatic management, automation, and integration of Power BI resources such as datasets, reports, and dashboards into custom applications and workflows.
-
C.
OLE DB
OLE DB is a Microsoft data access API that provides a uniform way for applications to access data from a variety of relational and non-relational data sources.
-
D.
OAI
OAI is the Office of Anticorruption and Integrity, a body typically responsible for promoting transparency, preventing corruption, and ensuring ethical conduct within an organization or institution.
-
E.
WADL
WADL is the ICAO airport code for Lombok International Airport in Indonesia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638b38c888190aa2433173db64c90 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:41 p.m.