Triple
T13655110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vauréal |
E326839
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Us
Us is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
|
E1068157
|
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: Us | Statement: [canton of Vauréal, containsAdministrativeTerritorialEntity, Us]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Us Context triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Us]
-
A.
Us
Us is Peter Gabriel's 1992 studio album that explores themes of personal relationships and emotional introspection through richly layered, world music–influenced rock.
-
B.
Us
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
-
C.
Us
"Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
-
D.
Us
"Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
-
E.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
- 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: Us Triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Us]
Generated description
Us is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Us Target entity description: Us is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
A.
Us
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
-
B.
Us
"Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
-
C.
Us
"Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
-
D.
Us
Us is Peter Gabriel's 1992 studio album that explores themes of personal relationships and emotional introspection through richly layered, world music–influenced rock.
-
E.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6fb2b708190ae6e36bfb93f8bdd |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c93a3d0c8190a6417f0db54119f5 |
completed | May 3, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9b2930c8190983f2c55a0dd35f6 |
completed | May 3, 2026, 10:18 p.m. |
Created at: April 9, 2026, 9:52 p.m.