Triple
T1871269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borkou-Ennedi-Tibesti |
E39039
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
|
E263381
|
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: Faya-Largeau | Statement: [Borkou-Ennedi-Tibesti, capital, Faya-Largeau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faya-Largeau Context triple: [Borkou-Ennedi-Tibesti, capital, Faya-Largeau]
-
A.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
B.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
-
C.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
- 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: Faya-Largeau Triple: [Borkou-Ennedi-Tibesti, capital, Faya-Largeau]
Generated description
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faya-Largeau Target entity description: Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
A.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
B.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
-
C.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0ba90e08190b990875d6e8e7e4a |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3a777a481909e8b350811ee29c0 |
completed | March 9, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_69aeb48dfbfc81908193c909315bd030 |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57af28c8190bfca30ad3e7ca8b3 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.