Triple
T196937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Berlin |
E3836
|
entity |
| Predicate | integrationDate |
P6972
|
FINISHED |
| Object | 1990-10-03 |
—
|
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: 1990-10-03 | Statement: [West Berlin, integrationDate, 1990-10-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integrationDate Context triple: [West Berlin, integrationDate, 1990-10-03]
-
A.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
B.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
C.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
D.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
E.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2598594388190a56f36fa036eac84 |
completed | Feb. 28, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69a25677da14819094cd02868fd30c83 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258b422b481909936e7e427209a12 |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.