Triple
T9951647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suppiluliuma II |
E195343
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Labarna |
E722269
|
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: Labarna | Statement: [Suppiluliuma II, title, Labarna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labarna Context triple: [Suppiluliuma II, title, Labarna]
-
A.
Labarna
chosen
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
-
B.
Kalloni
Kalloni is a town on the Greek island of Lesbos, known for its large bay, salt pans, and rich birdlife.
-
C.
Limyra
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.
-
D.
Maroneia
Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
-
E.
Bourkika
Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6922f888190b5c4b58fbe21bea2 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:46 p.m.