Triple
T18959407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapoel Afula F.C. |
E463870
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | ISR |
—
|
NE NERFINISHED |
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: ISR | Statement: [Hapoel Afula F.C., countryCode, ISR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISR Context triple: [Hapoel Afula F.C., countryCode, ISR]
-
A.
ISR
chosen
ISR is the three-letter ISO 3166-1 alpha-3 country code assigned to Israel for international standardization and data representation.
-
B.
ISR
ISR is a leading social science research institute at the University of Michigan known for its pioneering survey research and data collection.
-
C.
IAS
IAS (Interactive Application System) is a multi-user, multitasking operating system developed by Digital Equipment Corporation for their PDP-11 minicomputers.
-
D.
IAS
IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
-
E.
IAS
IAS is the IATA airport code for Iași International Airport, a major air transport hub serving the city of Iași in northeastern Romania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d1d784819095f3f886d7c47175 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon