Triple

T4077814
Position Surface form Disambiguated ID Type / Status
Subject ACEUM E87406 entity
Predicate replaced P101 FINISHED
Object ALENA
ALENA is the French acronym for the North American Free Trade Agreement (NAFTA), a trade pact that created a large free-trade zone between Canada, the United States, and Mexico.
 E411536 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: ALENA | Statement: [ACEUM, replaced, ALENA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALENA
Context triple: [ACEUM, replaced, ALENA]
  • A. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • B. ELENA
    ELENA is a CERN accelerator ring designed to decelerate antiprotons to very low energies for precision antimatter experiments.
  • C. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • D. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • E. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • 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: ALENA
Triple: [ACEUM, replaced, ALENA]
Generated description
ALENA is the French acronym for the North American Free Trade Agreement (NAFTA), a trade pact that created a large free-trade zone between Canada, the United States, and Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALENA
Target entity description: ALENA is the French acronym for the North American Free Trade Agreement (NAFTA), a trade pact that created a large free-trade zone between Canada, the United States, and Mexico.
  • A. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • B. ELENA
    ELENA is a CERN accelerator ring designed to decelerate antiprotons to very low energies for precision antimatter experiments.
  • C. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • D. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • E. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc4d348c8190a94724639830aca0 completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bea9b48190bcd1396c0cb19697 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b5cc108190bb9684abafa608af completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5646606f08190930451ac372154cd completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:39 p.m.