Triple

T8266162
Position Surface form Disambiguated ID Type / Status
Subject Mursili II E193305 entity
Predicate title P38 FINISHED
Object Labarna
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
 E722269 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: Labarna | Statement: [Mursili II, title, Labarna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Labarna
Context triple: [Mursili II, title, Labarna]
  • A. Kalloni
    Kalloni is a town on the Greek island of Lesbos, known for its large bay, salt pans, and rich birdlife.
  • B. 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.
  • C. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • D. Dendérah
    Dendérah is an ancient Egyptian temple complex on the west bank of the Nile, best known for its well-preserved Temple of Hathor and richly decorated astronomical ceilings.
  • E. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • 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: Labarna
Triple: [Mursili II, title, Labarna]
Generated description
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Labarna
Target entity description: Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
  • A. Kalloni
    Kalloni is a town on the Greek island of Lesbos, known for its large bay, salt pans, and rich birdlife.
  • B. 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.
  • C. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • D. Dendérah
    Dendérah is an ancient Egyptian temple complex on the west bank of the Nile, best known for its well-preserved Temple of Hathor and richly decorated astronomical ceilings.
  • E. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357ecadc81909eb92655a2cbb7e6 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a89d108190a25d1f253d7741e0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f09a7a8819096ae509767ca61ee completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:50 p.m.