Triple

T4733666
Position Surface form Disambiguated ID Type / Status
Subject Anseba E105070 entity
Predicate containsTown P847 FINISHED
Object Halhal
Halhal is a small town in Eritrea’s Anseba region, known primarily as a local agricultural and trading center.
 E465404 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: Halhal | Statement: [Anseba, containsTown, Halhal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halhal
Context triple: [Anseba, containsTown, Halhal]
  • A. Halala
    Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Halhul
    Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
  • D. Gahal
    Gahal was a right-wing political alliance in Israel formed in the 1960s, primarily uniting the Herut movement with the Liberal Party and serving as a key predecessor to the Likud party.
  • E. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • 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: Halhal
Triple: [Anseba, containsTown, Halhal]
Generated description
Halhal is a small town in Eritrea’s Anseba region, known primarily as a local agricultural and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halhal
Target entity description: Halhal is a small town in Eritrea’s Anseba region, known primarily as a local agricultural and trading center.
  • A. Halala
    Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Halhul
    Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
  • D. Gahal
    Gahal was a right-wing political alliance in Israel formed in the 1960s, primarily uniting the Herut movement with the Liberal Party and serving as a key predecessor to the Likud party.
  • E. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10acf7488190946b31f95114d459 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1502bbb4819094c27231dc6a9762 completed March 21, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69be15ba6dac8190b37130ba0a9209c3 completed March 21, 2026, 3:51 a.m.
Created at: March 20, 2026, 1:19 p.m.