Triple
T15604191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dohány Street |
E375112
|
entity |
| Predicate | cityQuarterRole |
P8652
|
FINISHED |
| Object | axis of the old Jewish quarter |
—
|
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: axis of the old Jewish quarter | Statement: [Dohány Street, cityQuarterRole, axis of the old Jewish quarter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityQuarterRole Context triple: [Dohány Street, cityQuarterRole, axis of the old Jewish quarter]
-
A.
cityQuarterCharacter
Indicates the characteristic qualities or distinctive nature that define a particular city quarter.
-
B.
urbanRole
chosen
Indicates the function, status, or role that an entity holds within an urban or city context.
-
C.
cityQuarterNumber
Indicates the specific numbered quarter or district within a city to which an entity belongs or is associated.
-
D.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
districtRole
Indicates that an entity holds a specific role, function, or position within a particular district.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.