Triple
T1770111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycian |
E38854
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Lycian B |
E193314
|
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: Lycian B | Statement: [Lycian, hasDialect, Lycian B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lycian B Context triple: [Lycian, hasDialect, Lycian B]
-
A.
Lycian
Lycian is an extinct Indo-European Anatolian language once spoken in southwestern Asia Minor and known from inscriptions dating to the first millennium BCE.
-
B.
Bala
Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
-
C.
Lycian II
chosen
Lycian II is an ancient Anatolian language, also known as Milyan, once spoken in the region of Lycia in southwestern Asia Minor.
-
D.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c727e48190b934e9b97b084c7a |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.