Triple

T3096971
Position Surface form Disambiguated ID Type / Status
Subject Angra do Heroísmo E64618 entity
Predicate demographicsLabel P2263 FINISHED
Object Angrense
An Angrense is a resident or native of Angra do Heroísmo, a historic city on Terceira Island in Portugal’s Azores archipelago.
 E327498 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: Angrense | Statement: [Angra do Heroísmo, demographicsLabel, Angrense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angrense
Context triple: [Angra do Heroísmo, demographicsLabel, Angrense]
  • A. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • B. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Zahle
    Zahle is a prominent city in Lebanon’s Beqaa Valley, known for its historic architecture, vineyards, and role as a regional commercial and cultural center.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • 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: Angrense
Triple: [Angra do Heroísmo, demographicsLabel, Angrense]
Generated description
An Angrense is a resident or native of Angra do Heroísmo, a historic city on Terceira Island in Portugal’s Azores archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angrense
Target entity description: An Angrense is a resident or native of Angra do Heroísmo, a historic city on Terceira Island in Portugal’s Azores archipelago.
  • A. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • B. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Zahle
    Zahle is a prominent city in Lebanon’s Beqaa Valley, known for its historic architecture, vineyards, and role as a regional commercial and cultural center.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037483fc8190b8343faa58fb9893 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.