Triple
T13105668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eSRS |
E310835
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | eSRS |
E310835
|
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: eSRS | Statement: [eSRS, acronym, eSRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eSRS Context triple: [eSRS, acronym, eSRS]
-
A.
eSRS
chosen
eSRS (Electronic Subcontracting Reporting System) is a U.S. federal government online platform used by prime contractors to report subcontracting achievements and compliance with small business subcontracting plans.
-
B.
Khanmigo (AI education tool by Khan Academy)
Khanmigo is Khan Academy’s AI-powered tutoring and teaching assistant designed to provide interactive, personalized support for students and educators across a wide range of subjects.
-
C.
E’tesami
E’tesami is the Persian family name of Parvin E’tesami, one of Iran’s most celebrated 20th-century poets.
-
D.
Yahoo Finance
Yahoo Finance is a popular online platform providing real-time stock quotes, financial news, market data, and investment tools for individual and professional investors.
-
E.
QUEST
QUEST is a public engineering and science university in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27a325c8190a5c0f1a582340078 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.