Triple

T16270915
Position Surface form Disambiguated ID Type / Status
Subject Baix Ebre E394995 entity
Predicate contains P35 FINISHED
Object Xerta
Xerta is a small municipality in Catalonia, Spain, situated along the Ebro River and known for its historic hydraulic structures and agricultural surroundings.
E1204218 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: Xerta | Statement: [Baix Ebre, contains, Xerta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerta
Context triple: [Baix Ebre, contains, Xerta]
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • D. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • E. Twante
    Twante is a town in Myanmar’s Yangon Region known for its traditional pottery, weaving, and proximity to the Twante Canal linking it to Yangon.
  • 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: Xerta
Triple: [Baix Ebre, contains, Xerta]
Generated description
Xerta is a small municipality in Catalonia, Spain, situated along the Ebro River and known for its historic hydraulic structures and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xerta
Target entity description: Xerta is a small municipality in Catalonia, Spain, situated along the Ebro River and known for its historic hydraulic structures and agricultural surroundings.
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • D. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • E. Twante
    Twante is a town in Myanmar’s Yangon Region known for its traditional pottery, weaving, and proximity to the Twante Canal linking it to Yangon.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e246099dd081908e268a1a0cf8a373 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bf09888190b3d90db3517a2f1e completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00193f71548190b40feeea73b0c252 completed May 10, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:05 a.m.