Triple
T12792229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Romans-sur-Isère |
E305795
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hostun
Hostun is a small commune in southeastern France’s Drôme department, known for its rural setting at the foot of the Vercors massif.
|
E1003105
|
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: Hostun | Statement: [canton of Romans-sur-Isère, contains, Hostun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hostun Context triple: [canton of Romans-sur-Isère, contains, Hostun]
-
A.
Hoste
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
-
B.
Hostomel
Hostomel is a town near Kyiv in northern Ukraine, known for its strategic airport and its role in the early stages of the 2022 Russian invasion.
-
C.
Hostouň
Hostouň is a small town and municipality in the Plzeň Region of the Czech Republic, known for its rural character and historical setting near the German border.
-
D.
Unhos
Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
-
E.
d’Hostun
d’Hostun is a French noble family name historically associated with military leaders such as Marshal Tallard.
- 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: Hostun Triple: [canton of Romans-sur-Isère, contains, Hostun]
Generated description
Hostun is a small commune in southeastern France’s Drôme department, known for its rural setting at the foot of the Vercors massif.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hostun Target entity description: Hostun is a small commune in southeastern France’s Drôme department, known for its rural setting at the foot of the Vercors massif.
-
A.
Hoste
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
-
B.
Hostomel
Hostomel is a town near Kyiv in northern Ukraine, known for its strategic airport and its role in the early stages of the 2022 Russian invasion.
-
C.
Hostouň
Hostouň is a small town and municipality in the Plzeň Region of the Czech Republic, known for its rural character and historical setting near the German border.
-
D.
Unhos
Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
-
E.
d’Hostun
d’Hostun is a French noble family name historically associated with military leaders such as Marshal Tallard.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f689733f748190bca592ab30b4437c |
completed | May 2, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a4cb2c4819083def0a43452470f |
completed | May 2, 2026, 11:35 p.m. |
Created at: April 9, 2026, 5:30 p.m.