Triple
T13753484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycian League |
E330414
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Limyra |
E325083
|
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: Limyra | Statement: [Lycian League, hasMember, Limyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limyra Context triple: [Lycian League, hasMember, Limyra]
-
A.
Limyra
chosen
Limyra was an important ancient Lycian city in southwestern Anatolia, known for its rich archaeological remains and historical significance under Persian, Hellenistic, and Roman rule.
-
B.
Labarna
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
-
C.
Myrina
Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
-
D.
Myrina
Myrina is a legendary Amazon queen in Greek mythology, famed for leading military campaigns and expanding Amazon influence across parts of Africa and Asia.
-
E.
Florinas
Florinas is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85813e88190a63fecf8b0675df6 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.