Triple
T13161543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VBB: Berlin AB |
E312736
|
entity |
| Predicate | zoneACharacteristic |
P65031
|
FINISHED |
| Object | city center including S-Bahn ring |
—
|
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: city center including S-Bahn ring | Statement: [VBB: Berlin AB, zoneACharacteristic, city center including S-Bahn ring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneACharacteristic Context triple: [VBB: Berlin AB, zoneACharacteristic, city center including S-Bahn ring]
-
A.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
B.
zone
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
C.
zoneBased
Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
-
D.
zoneAdded
Indicates that a new zone has been created and incorporated into an existing system, area, or configuration.
-
E.
coreAreaCharacteristic
chosen
Indicates that a characteristic or feature is specifically associated with the core area of something, rather than its peripheral or secondary parts.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:12 p.m.