Triple
T9851982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rromani |
E239489
|
entity |
| Predicate | hasSelfDesignation |
P28298
|
FINISHED |
| Object | Rrom |
E76547
|
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: Rrom | Statement: [Rromani, hasSelfDesignation, Rrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rrom Context triple: [Rromani, hasSelfDesignation, Rrom]
-
A.
Rrom
chosen
Rrom is a self-designation used by some Romani people to refer to themselves and their ethnic community.
-
B.
ROM
ROM is a major museum in Toronto, Canada, renowned for its extensive collections in natural history, world cultures, and art.
-
C.
ROM
ROM is the National Rail station code for Romsey railway station in Hampshire, England.
-
D.
IIci ROM
The IIci ROM is a specific firmware chip used in the Macintosh IIci that provides its low-level system software and startup routines.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb375ba448190a32cca2b0f376ac1 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ee190c8190957451d8d8291df3 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.