Triple
T13463146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour Incity |
E311421
|
entity |
| Predicate | districtRole |
P110463
|
FINISHED |
| Object | landmark of the Part-Dieu skyline |
—
|
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: landmark of the Part-Dieu skyline | Statement: [Tour Incity, districtRole, landmark of the Part-Dieu skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtRole Context triple: [Tour Incity, districtRole, landmark of the Part-Dieu skyline]
-
A.
districtAdministration
Indicates that an entity is responsible for managing, governing, or overseeing the administrative affairs of a specific district or local jurisdiction.
-
B.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
districtCouncil
Indicates that an entity serves as, or is governed by, a district-level council within a larger administrative or political structure.
-
E.
urbanPolicyRole
Indicates a role or responsibility that an entity has in shaping, implementing, or influencing urban policy.
- F. None of above. chosen
Provenance (4 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:41 p.m.