Triple
T8548700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peta |
E202391
|
entity |
| Predicate | usedInBreedingOf |
P24704
|
FINISHED |
| Object | IR8 |
E201088
|
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: IR8 | Statement: [Peta, usedInBreedingOf, IR8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IR8 Context triple: [Peta, usedInBreedingOf, IR8]
-
A.
IR8
chosen
IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
-
B.
IER
IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
-
C.
IR-20
IR-20 is the ISO 3166-2 subdivision code assigned to Iran’s Semnan Province.
-
D.
IRI
IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
-
E.
IR
IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7529b648190b4b1cf1cb8836546 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8924e3348190b7c8911e574d1cd0 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:19 p.m.