Triple
T11204705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipovans |
E265130
|
entity |
| Predicate | selfDesignation |
P974
|
FINISHED |
| Object |
Lipoveni
Lipoveni is the endonym used by the Lipovans, a Russian Old Believer community primarily settled in parts of Eastern Europe such as Romania and Ukraine.
|
E911175
|
NE FINISHED |
How this triple was built (4 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: Lipoveni | Statement: [Lipovans, selfDesignation, Lipoveni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipoveni Context triple: [Lipovans, selfDesignation, Lipoveni]
-
A.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
B.
Ponvannan
Ponvannan is an Indian actor and director known for his character roles in Tamil cinema and television.
-
C.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
-
D.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
-
E.
Venini
Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lipoveni Triple: [Lipovans, selfDesignation, Lipoveni]
Generated description
Lipoveni is the endonym used by the Lipovans, a Russian Old Believer community primarily settled in parts of Eastern Europe such as Romania and Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipoveni Target entity description: Lipoveni is the endonym used by the Lipovans, a Russian Old Believer community primarily settled in parts of Eastern Europe such as Romania and Ukraine.
-
A.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
B.
Ponvannan
Ponvannan is an Indian actor and director known for his character roles in Tamil cinema and television.
-
C.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
-
D.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
-
E.
Venini
Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
- F. None of above. chosen
Provenance (5 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e49d37989881909c7e75ddfff06726 |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49f41a1f8819087cc15527dc7ff63 |
completed | April 19, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.