Triple

T669996
Position Surface form Disambiguated ID Type / Status
Subject Knights Hospitaller E12949 entity
Predicate militaryBase P1869 FINISHED
Object Margat
Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
 E82836 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: Margat | Statement: [Knights Hospitaller, militaryBase, Margat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margat
Context triple: [Knights Hospitaller, militaryBase, Margat]
  • A. County of Cerdanya
    The County of Cerdanya was a medieval Catalan Pyrenean county that became an important frontier territory within what later formed the Crown of Aragon.
  • B. Arles
    Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
  • C. County of Roussillon
    The County of Roussillon was a medieval feudal territory in what is now southern France, historically significant as a borderland between the Catalan-Aragonese and French realms.
  • D. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • E. Antibes
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • 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: Margat
Triple: [Knights Hospitaller, militaryBase, Margat]
Generated description
Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margat
Target entity description: Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
  • A. County of Cerdanya
    The County of Cerdanya was a medieval Catalan Pyrenean county that became an important frontier territory within what later formed the Crown of Aragon.
  • B. Arles
    Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
  • C. County of Roussillon
    The County of Roussillon was a medieval feudal territory in what is now southern France, historically significant as a borderland between the Catalan-Aragonese and French realms.
  • D. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • E. Antibes
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a518e6348190b467c2fab3fd1f11 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39d11508190a3bd0f118d122e1a completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c486463c8190905f9b0cbc0ba053 completed March 2, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce6be0b081909067962eef2ba7a2 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.