Triple

T26845362
Position Surface form Disambiguated ID Type / Status
Subject Ghurid army E675901 entity
Predicate usedByRuler P113989 FINISHED
Object Ghiyath al-Din Muhammad
Ghiyath al-Din Muhammad was a prominent 12th-century Ghurid sultan who, alongside his brother Mu'izz al-Din Muhammad, expanded the Ghurid Empire across present-day Afghanistan, Iran, and northern India.
E1765513 NE FINISHED

How this triple was built (2 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: Ghiyath al-Din Muhammad | Statement: [Ghurid army, usedByRuler, Ghiyath al-Din Muhammad]
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: Ghiyath al-Din Muhammad
Triple: [Ghurid army, usedByRuler, Ghiyath al-Din Muhammad]
Generated description
Ghiyath al-Din Muhammad was a prominent 12th-century Ghurid sultan who, alongside his brother Mu'izz al-Din Muhammad, expanded the Ghurid Empire across present-day Afghanistan, Iran, and northern India.

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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b4c7e008190825143ff32948abe completed May 2, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c8309b88190b5bb994dc4d6867f completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129cf328c88190a80edf3b64ff507d completed May 24, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a129d4d9e448190b5459d8260c0c701 completed May 24, 2026, 6:40 a.m.
Created at: April 27, 2026, 5:11 a.m.