Triple
T17055285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luitpold Hall |
E413803
|
entity |
| Predicate | primaryUseStart |
P125676
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Luitpold Hall, primaryUseStart, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseStart Context triple: [Luitpold Hall, primaryUseStart, 1930s]
-
A.
originalPrimaryUse
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
-
B.
primaryCurrentUse
Indicates the main way something is currently being used or its principal present function.
-
C.
primaryUseArea
Indicates the main functional area or domain in which an entity is primarily used or applied.
-
D.
formerPrimaryUse
Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
-
E.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7934e881909e9f0ae956fb0816 |
completed | April 18, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.