Triple
T4686656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Cities Mission |
E103935
|
entity |
| Predicate | areaBasedDevelopmentType |
P58795
|
FINISHED |
| Object | retrofitting |
—
|
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: retrofitting | Statement: [Smart Cities Mission, areaBasedDevelopmentType, retrofitting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaBasedDevelopmentType Context triple: [Smart Cities Mission, areaBasedDevelopmentType, retrofitting]
-
A.
urbanDevelopmentType
Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
-
B.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
-
C.
urbanDesignType
Indicates the specific category or style of urban design that characterizes or is applied to a place or project.
-
D.
urbanAreaType
Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
-
E.
urbanRedevelopmentArea
Indicates that a location is designated for concentrated urban renewal activities such as redevelopment, revitalization, or land-use transformation.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd660414b08190ab37467755d383b5 |
completed | March 20, 2026, 3:21 p.m. |
Created at: March 20, 2026, 1:16 p.m.