Triple
T27052328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cité internationale de la tapisserie |
E684804
|
entity |
| Predicate | operatesInBuildingType |
P1844
|
FINISHED |
| Object | cultural complex |
—
|
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: cultural complex | Statement: [Cité internationale de la tapisserie, operatesInBuildingType, cultural complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInBuildingType Context triple: [Cité internationale de la tapisserie, operatesInBuildingType, cultural complex]
-
A.
buildingTypeServed
Indicates the type of building that is served, supported, or catered to by a given entity or system.
-
B.
appliesToBuildingComplex
Indicates that something (such as a rule, condition, attribute, or action) is relevant or applicable to an entire building complex rather than to individual buildings or units.
-
C.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
D.
appliedToBuildingType
Indicates that something (such as a rule, measure, or classification) is specifically applicable to a particular type of building.
-
E.
occursInBuilding
Indicates that an event or activity takes place within a specific building.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 27, 2026, 8:15 a.m.