Triple

T3359697
Position Surface form Disambiguated ID Type / Status
Subject Ihnasya al-Madinah E70690 entity
Predicate alsoKnownAs P39 FINISHED
Object Hnes
Hnes is an alternative name for Ihnasya al-Madinah, a historic town in Egypt known for its ancient archaeological significance.
 E351948 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: Hnes | Statement: [Ihnasya al-Madinah, alsoKnownAs, Hnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hnes
Context triple: [Ihnasya al-Madinah, alsoKnownAs, Hnes]
  • A. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • B. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • C. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • D. Historia Nea
    Historia Nea is the Latin title of the historical work "New History," traditionally attributed to the late antique historian Zosimus.
  • E. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • 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: Hnes
Triple: [Ihnasya al-Madinah, alsoKnownAs, Hnes]
Generated description
Hnes is an alternative name for Ihnasya al-Madinah, a historic town in Egypt known for its ancient archaeological significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hnes
Target entity description: Hnes is an alternative name for Ihnasya al-Madinah, a historic town in Egypt known for its ancient archaeological significance.
  • A. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • B. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • C. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • D. Historia Nea
    Historia Nea is the Latin title of the historical work "New History," traditionally attributed to the late antique historian Zosimus.
  • E. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb266c4a881908aded39ccb8f43b2 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32541ed808190aa7be7d0b7606426 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b3293d4b688190be472a5a3b56293b completed March 12, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69b32a49fed0819094ffd1e93a3757d0 completed March 12, 2026, 9:04 p.m.
Created at: March 8, 2026, 3:13 p.m.