Triple
T19388693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillet River |
E485002
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Tillet
Tillet is a locality in France whose name is shared with the nearby Tillet River.
|
E1374490
|
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: Tillet | Statement: [Tillet River, hasNameInLanguage, Tillet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tillet Context triple: [Tillet River, hasNameInLanguage, Tillet]
-
A.
Tilligte
Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
-
B.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
C.
Tisvildeleje
Tisvildeleje is a coastal village and seaside resort town in North Zealand, Denmark, known for its sandy beaches, summer cottages, and proximity to Tisvilde Hegn forest.
-
D.
Tillé
Tillé is a commune in northern France best known for hosting Beauvais–Tillé Airport, a secondary hub for low-cost flights serving the Paris region.
-
E.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
- 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: Tillet Triple: [Tillet River, hasNameInLanguage, Tillet]
Generated description
Tillet is a locality in France whose name is shared with the nearby Tillet River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tillet Target entity description: Tillet is a locality in France whose name is shared with the nearby Tillet River.
-
A.
Tilligte
Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
-
B.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
C.
Tisvildeleje
Tisvildeleje is a coastal village and seaside resort town in North Zealand, Denmark, known for its sandy beaches, summer cottages, and proximity to Tisvilde Hegn forest.
-
D.
Tillé
Tillé is a commune in northern France best known for hosting Beauvais–Tillé Airport, a secondary hub for low-cost flights serving the Paris region.
-
E.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8503108190bfcd0ac7c94183f7 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072dc9e9808190ab0e5b6dd35147ab |
completed | May 15, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e3709e881909d70f130a77fc428 |
completed | May 15, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:36 p.m.