Triple
T32477085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noida Sector 18 |
E830004
|
entity |
| Predicate | hasMall |
P16039
|
FINISHED |
| Object | DLF Mall of India |
—
|
NE NERFINISHED |
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: DLF Mall of India | Statement: [Noida Sector 18, hasMall, DLF Mall of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMall Context triple: [Noida Sector 18, hasMall, DLF Mall of India]
-
A.
hasShoppingMall
chosen
Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
-
B.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
C.
isIndoorMall
Indicates that a shopping mall is located indoors, typically enclosed within a single building or connected interior space.
-
D.
hasShoppingMallName
Indicates that an entity (such as a shopping mall) is associated with or identified by a specific name.
-
E.
hasShoppingMallRank
Indicates the relative position or ranking assigned to a shopping mall within a specified comparison set or evaluation.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 1, 2026, 12:58 a.m.