Triple
T58934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude |
E1167
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Romanian |
E2736
|
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: Romanian | Statement: [Claude, hasLanguage, Romanian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romanian Context triple: [Claude, hasLanguage, Romanian]
-
A.
Romanian language
chosen
Romanian is a Romance language spoken primarily in Romania and Moldova, notable for preserving many features of Latin while incorporating significant Slavic and Balkan influences.
-
B.
Polish language
Polish language is a West Slavic language spoken primarily in Poland and by Polish communities worldwide, written in the Latin alphabet with distinctive diacritics.
-
C.
Russian language
Russian is an East Slavic language spoken primarily in Russia and neighboring countries, serving as one of the world's major languages in politics, science, and culture.
-
D.
Turkish language
Turkish is a Turkic language primarily spoken in Turkey and Cyprus, known for its vowel harmony, agglutinative grammar, and modern standard form established after Atatürk’s language reforms.
-
E.
Esperanto
Esperanto is a constructed international auxiliary language created in the late 19th century to facilitate easy and politically neutral communication between speakers of different native languages.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a24ec5f46081909f3ba0b25190282b |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554a9e70819099ab14df3da5e403 |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.