Triple
T9852006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlax Roma |
E239490
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Machvaya Roma |
E51997
|
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: Machvaya Roma | Statement: [Vlax Roma, hasSubgroup, Machvaya Roma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machvaya Roma Context triple: [Vlax Roma, hasSubgroup, Machvaya Roma]
-
A.
Gates of Rome
The Gates of Rome are the historic monumental entrances in the Aurelian and earlier city walls that controlled access to ancient and medieval Rome along its major roads.
-
B.
Le Romain
Le Romain is the nickname of Pierre Mignard, a prominent 17th-century French painter celebrated for his portraits and religious works.
-
C.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
-
D.
Horahane Roma
chosen
Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
-
E.
The Fire of Rome
The Fire of Rome is a dramatic 18th-century painting by French artist Hubert Robert depicting the catastrophic burning of ancient Rome in a romanticized, ruin-filled vision.
- 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.