Triple
T7545338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manosque |
E178386
|
entity |
| Predicate | populationRankInAlpesDeHauteProvence |
P45844
|
FINISHED |
| Object | largest town in the department |
—
|
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: largest town in the department | Statement: [Manosque, populationRankInAlpesDeHauteProvence, largest town in the department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInAlpesDeHauteProvence Context triple: [Manosque, populationRankInAlpesDeHauteProvence, largest town in the department]
-
A.
populationRankInCanton
Indicates the relative position of an entity in terms of population size compared to other entities within the same canton.
-
B.
populationRankInFrance
Indicates the relative position of an entity in an ordered list based on its population size within France.
-
C.
rankingByLengthInAlps
Indicates an ordering of entities based on their relative lengths specifically within the context of the Alps.
-
D.
hasPopulationRankInDepartment
chosen
Indicates the relative position of an entity’s population size compared to other entities within the same department.
-
E.
hasPopulationRankInSwitzerland
Indicates the relative position of an entity in the ordered list of populations within Switzerland, such as its rank by population size compared to other Swiss entities.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.