Triple

T3853502
Position Surface form Disambiguated ID Type / Status
Subject Capcir E85354 entity
Predicate contains P35 FINISHED
Object Formiguères
Formiguères is a small mountain commune in the French Pyrenees, known for its ski resort and scenic alpine surroundings in the Capcir region.
E392509 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: Formiguères | Statement: [Capcir, contains, Formiguères]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formiguères
Context triple: [Capcir, contains, Formiguères]
  • A. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • B. Bouzy
    Bouzy is a renowned Grand Cru wine-producing village in France’s Champagne region, celebrated for its high-quality Pinot Noir grapes and distinctive sparkling wines.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • E. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • 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: Formiguères
Triple: [Capcir, contains, Formiguères]
Generated description
Formiguères is a small mountain commune in the French Pyrenees, known for its ski resort and scenic alpine surroundings in the Capcir region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Formiguères
Target entity description: Formiguères is a small mountain commune in the French Pyrenees, known for its ski resort and scenic alpine surroundings in the Capcir region.
  • A. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • B. Bouzy
    Bouzy is a renowned Grand Cru wine-producing village in France’s Champagne region, celebrated for its high-quality Pinot Noir grapes and distinctive sparkling wines.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • E. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec0438308190865ff74bee5a1cf2 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041c7250819093b2743afeb6e36c completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:19 p.m.