Triple
T8284878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCP |
E193764
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object | INCITS |
E38928
|
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: INCITS | Statement: [FCP, standardizedBy, INCITS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INCITS Context triple: [FCP, standardizedBy, INCITS]
-
A.
INCITS
chosen
INCITS is a U.S.-based standards development organization that creates and maintains information and communications technology standards, including those for storage interfaces like Serial Attached SCSI.
-
B.
INCITS M1
INCITS M1 is a technical committee within the InterNational Committee for Information Technology Standards focused on developing and maintaining standards in a specific area of information technology.
-
C.
INCITS T13
INCITS T13 is a technical committee within the InterNational Committee for Information Technology Standards focused on developing standards for mass storage interfaces and related technologies.
-
D.
ICTS
ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
-
E.
ECIT
ECIT is a research institute focused on advancing electronics, communications, and information technology.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd687e64a08190a45a1cf5f5c32291 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.