Triple
T1735938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th arrondissement of Paris |
E37918
|
entity |
| Predicate | isCentralDistrict |
P16032
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [10th arrondissement of Paris, isCentralDistrict, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCentralDistrict Context triple: [10th arrondissement of Paris, isCentralDistrict, true]
-
A.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
-
B.
isDowntownCoreOf
chosen
Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
-
C.
hasCentralAct
Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
-
D.
isCoreCity
Indicates that a city serves as a primary, central, or most important urban area within a larger region, system, or network.
-
E.
basedInDistrict
Indicates that an entity is located or has its primary base of operations within a specific administrative district.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.