Triple

T19154914
Position Surface form Disambiguated ID Type / Status
Subject Somali customary law (xeer) E468906 entity
Predicate hasAlternativeName P39 FINISHED
Object xeer
Xeer is the traditional Somali customary legal system that governs social conduct, conflict resolution, and resource sharing through clan-based agreements and elders’ mediation.
 E1360856 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: xeer | Statement: [Somali customary law (xeer), hasAlternativeName, xeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: xeer
Context triple: [Somali customary law (xeer), hasAlternativeName, xeer]
  • A. XEE
    XEE is the IATA airport-style station code used to identify Tartu railway station in Estonia’s rail and travel booking systems.
  • B. EEx
    EEx is Elixir’s built-in templating engine that allows embedding Elixir code within text-based formats like HTML for dynamic content generation.
  • C. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • D. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • E. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • 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: xeer
Triple: [Somali customary law (xeer), hasAlternativeName, xeer]
Generated description
Xeer is the traditional Somali customary legal system that governs social conduct, conflict resolution, and resource sharing through clan-based agreements and elders’ mediation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: xeer
Target entity description: Xeer is the traditional Somali customary legal system that governs social conduct, conflict resolution, and resource sharing through clan-based agreements and elders’ mediation.
  • A. XEE
    XEE is the IATA airport-style station code used to identify Tartu railway station in Estonia’s rail and travel booking systems.
  • B. EEx
    EEx is Elixir’s built-in templating engine that allows embedding Elixir code within text-based formats like HTML for dynamic content generation.
  • C. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • D. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • E. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb81bf08190b0352137eb4a5763 completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f256821081908b69afd367040866 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f303c4fc8190a9a972dd1561bc84 completed May 15, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, 12:06 p.m.