Triple
T32340676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place de la Reine |
E826303
|
entity |
| Predicate | hasPlanningPeriod |
P190367
|
FINISHED |
| Object | 18th–19th century urban development |
—
|
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: 18th–19th century urban development | Statement: [Place de la Reine, hasPlanningPeriod, 18th–19th century urban development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanningPeriod Context triple: [Place de la Reine, hasPlanningPeriod, 18th–19th century urban development]
-
A.
hasPlanningStatus
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
-
B.
hasPlanningType
Indicates that an entity is associated with a specific category or type used for planning or scheduling purposes.
-
C.
hasPlanningLevel
Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
-
D.
isPlannedThrough
Indicates that something is intended to be achieved, organized, or carried out by means of a specified plan, method, or intermediary process.
-
E.
hasPlanningContext
Indicates that an entity is associated with a specific planning-related situation, scope, or set of conditions that frame how it should be interpreted or used.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 1, 2026, 12:48 a.m.