Triple
T7300530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulogne-Billancourt |
E167837
|
entity |
| Predicate | populationRankInHautsDeSeine |
P45844
|
FINISHED |
| Object | largest commune by population |
—
|
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 commune by population | Statement: [Boulogne-Billancourt, populationRankInHautsDeSeine, largest commune by population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInHautsDeSeine Context triple: [Boulogne-Billancourt, populationRankInHautsDeSeine, largest commune by population]
-
A.
populationRankInFrance
Indicates the relative position of an entity in an ordered list based on its population size within France.
-
B.
economicRankInFrance
Indicates the relative economic standing or ranking of an entity within the context of France’s economy.
-
C.
hasPopulationRankInDepartment
chosen
Indicates the relative position of an entity’s population size compared to other entities within the same department.
-
D.
hasArrondissement
Indicates a relationship where an administrative unit or locality is associated with, or belongs to, a specific arrondissement.
-
E.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebaef4a081908fadc6d5e2621e80 |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.