Triple
T17803040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont-Saint-Martin |
E444481
|
entity |
| Predicate | hasNearbyMunicipality |
P4647
|
FINISHED |
| Object |
Lillianes
Lillianes is a small mountain municipality in Italy’s Aosta Valley, known for its alpine scenery and traditional rural character.
|
E1288330
|
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: Lillianes | Statement: [Pont-Saint-Martin, hasNearbyMunicipality, Lillianes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillianes Context triple: [Pont-Saint-Martin, hasNearbyMunicipality, Lillianes]
-
A.
Lilian
Lilian is the given name of Ethel Lilian Voynich, an English novelist and musician best known for her revolutionary novel "The Gadfly."
-
B.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
C.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
D.
Lianne
Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
-
E.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
- 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: Lillianes Triple: [Pont-Saint-Martin, hasNearbyMunicipality, Lillianes]
Generated description
Lillianes is a small mountain municipality in Italy’s Aosta Valley, known for its alpine scenery and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lillianes Target entity description: Lillianes is a small mountain municipality in Italy’s Aosta Valley, known for its alpine scenery and traditional rural character.
-
A.
Lilian
Lilian is the given name of Ethel Lilian Voynich, an English novelist and musician best known for her revolutionary novel "The Gadfly."
-
B.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
C.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
D.
Lianne
Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
-
E.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f8429de481909fd0c906e49bacb7 |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f8ca36588190a1d5de8494777d61 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f9de0ae48190816002a5d32718a1 |
completed | May 12, 2026, 9:58 a.m. |
Created at: April 10, 2026, 10:13 a.m.