Triple
T25128465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 (Bucharest Metro) |
E629457
|
entity |
| Predicate | connectsDistrictType |
P108569
|
FINISHED |
| Object | southern residential districts |
—
|
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: southern residential districts | Statement: [M2 (Bucharest Metro), connectsDistrictType, southern residential districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsDistrictType Context triple: [M2 (Bucharest Metro), connectsDistrictType, southern residential districts]
-
A.
connectsKeyDistrict
Indicates that one entity establishes or maintains a significant linkage or route to a strategically important or central district.
-
B.
cityDistrictType
Indicates the type or classification of a city district within an urban or administrative structure.
-
C.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
-
D.
connectsTypeOfAreas
chosen
Indicates a relationship where one entity serves as a link or connector between two different types of areas.
-
E.
confluenceDistrict
Indicates a relationship where an area or region is designated as the district surrounding or encompassing the confluence of two or more water bodies.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 18, 2026, 6:28 a.m.