Triple
T19472044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oinousses |
E487146
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Inousses
Inousses is a small group of Greek islands in the Aegean Sea, known for their maritime tradition and picturesque villages.
|
E1378254
|
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: Inousses | Statement: [Oinousses, hasAlternativeName, Inousses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inousses Context triple: [Oinousses, hasAlternativeName, Inousses]
-
A.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
B.
Sacul
Sacul is an ancient Maya archaeological site in the Petén region of Guatemala, known for its ruins and historical significance within the Classic Maya civilization.
-
C.
Olivennes
Olivennes is a French surname associated with several notable figures in media, publishing, and the arts.
-
D.
Soussans
Soussans is a wine-producing commune in the Médoc region of southwestern France, known for contributing vineyards to the prestigious Margaux appellation.
-
E.
Baillou
Baillou is a small commune in the Loir-et-Cher department of central France.
- 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: Inousses Triple: [Oinousses, hasAlternativeName, Inousses]
Generated description
Inousses is a small group of Greek islands in the Aegean Sea, known for their maritime tradition and picturesque villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inousses Target entity description: Inousses is a small group of Greek islands in the Aegean Sea, known for their maritime tradition and picturesque villages.
-
A.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
B.
Sacul
Sacul is an ancient Maya archaeological site in the Petén region of Guatemala, known for its ruins and historical significance within the Classic Maya civilization.
-
C.
Olivennes
Olivennes is a French surname associated with several notable figures in media, publishing, and the arts.
-
D.
Soussans
Soussans is a wine-producing commune in the Médoc region of southwestern France, known for contributing vineyards to the prestigious Margaux appellation.
-
E.
Baillou
Baillou is a small commune in the Loir-et-Cher department of central France.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e8d9188190a4939f03bad89add |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07404fd4348190bc2efbebc7828716 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a074155addc8190a80e37d8f9d537a8 |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741e454a48190ac03aa458ca2b3b3 |
completed | May 15, 2026, 3:55 p.m. |
Created at: April 10, 2026, 1:39 p.m.