Triple
T15450823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumsen language |
E370144
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Rumsien |
E1139863
|
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: Rumsien | Statement: [Rumsen language, alternativeName, Rumsien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumsien Context triple: [Rumsen language, alternativeName, Rumsien]
-
A.
Rumsien
chosen
Rumsien is a Native American group and language of the Ohlone people traditionally associated with the Monterey Bay area of California.
-
B.
Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
-
C.
Havran
Havran is a town and district in western Turkey known for its agricultural production and location within Balıkesir Province.
-
D.
Rumen
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
-
E.
Franuś
Franuś is a Polish diminutive form of the male given name Franciszek, used as an affectionate or familiar nickname.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.