Triple
T9172213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John-F.-Kennedy-Platz |
E220106
|
entity |
| Predicate | hasFormerContext |
P29363
|
FINISHED |
| Object | West Berlin political center in Tempelhof |
—
|
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: West Berlin political center in Tempelhof | Statement: [John-F.-Kennedy-Platz, hasFormerContext, West Berlin political center in Tempelhof]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerContext Context triple: [John-F.-Kennedy-Platz, hasFormerContext, West Berlin political center in Tempelhof]
-
A.
hasFormerAnchor
Indicates that an entity previously served as an anchor (e.g., host or main presenter) for another entity, but no longer holds that role.
-
B.
hasFormerCode
Indicates that an entity was previously identified or referenced by an earlier code that is no longer current.
-
C.
hasFormerUse
chosen
Indicates that something previously served a particular function or role that it no longer has.
-
D.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
E.
hasPreambleContext
Indicates that something is associated with or occurs within the contextual setting provided by a preamble (such as introductory or prefatory material).
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbf9fe79c819082f335c2fdd1c7d3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.