Triple

T14095718
Position Surface form Disambiguated ID Type / Status
Subject Babylonian calendar E339248 entity
Predicate hasMonthName P92265 FINISHED
Object Araḫsamna
Araḫsamna is a month in the ancient Babylonian calendar, corresponding roughly to a late autumn period in the Mesopotamian year.
 E1079399 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: Araḫsamna | Statement: [Babylonian calendar, hasMonthName, Araḫsamna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Araḫsamna
Context triple: [Babylonian calendar, hasMonthName, Araḫsamna]
  • A. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • B. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • C. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • D. Ayrarat
    Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
  • E. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • 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: Araḫsamna
Triple: [Babylonian calendar, hasMonthName, Araḫsamna]
Generated description
Araḫsamna is a month in the ancient Babylonian calendar, corresponding roughly to a late autumn period in the Mesopotamian year.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Araḫsamna
Target entity description: Araḫsamna is a month in the ancient Babylonian calendar, corresponding roughly to a late autumn period in the Mesopotamian year.
  • A. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • B. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • C. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • D. Ayrarat
    Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
  • E. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.