Triple
T3141636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athégiens |
E65658
|
entity |
| Predicate | usedAsDemonymFor |
P191
|
FINISHED |
| Object | residents of Athis-Mons |
—
|
LITERAL FINISHED |
How this triple was built (2 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: residents of Athis-Mons | Statement: [Athégiens, usedAsDemonymFor, residents of Athis-Mons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsDemonymFor Context triple: [Athégiens, usedAsDemonymFor, residents of Athis-Mons]
-
A.
hasDemonym
chosen
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
B.
supporterDemonym
Indicates the relationship between an entity and the demonym used to refer to its supporters or fans.
-
C.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
D.
usedNameOfCountry
Indicates that one entity referred to or employed a particular name or designation for a country.
-
E.
regionallyKnownAs
Indicates that an entity is known by a particular name or designation within a specific geographic region.
- F. None of above.
Provenance (3 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57895dc8190bd3d4ef9391973dc |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.