Triple
T525158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lido de Paris |
E10900
|
entity |
| Predicate | arrondissement |
P2709
|
FINISHED |
| Object | 8th arrondissement of Paris |
—
|
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: 8th arrondissement of Paris | Statement: [Lido de Paris, arrondissement, 8th arrondissement of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrondissement Context triple: [Lido de Paris, arrondissement, 8th arrondissement of Paris]
-
A.
district
chosen
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
B.
militaryDistrict
Indicates that an entity functions as, or is located within, an administrative military district or region under military jurisdiction.
-
C.
municipality
Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
-
D.
subprefecture
Indicates that an entity is a subprefecture (an administrative subdivision) of another administrative region or jurisdiction.
-
E.
specialMunicipality
Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.