Triple
T27719180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huda City Centre |
E698903
|
entity |
| Predicate | hasAutoRickshawStand |
P24209
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Huda City Centre, hasAutoRickshawStand, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutoRickshawStand Context triple: [Huda City Centre, hasAutoRickshawStand, yes]
-
A.
hasTaxiStand
chosen
Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
-
B.
hasBusStandType
Indicates the specific category or type of bus stand associated with a given bus stand entity.
-
C.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
D.
hasDrivingCabs
Indicates that an entity (such as a vehicle or train) is equipped with one or more driving cabs from which it can be operated or controlled.
-
E.
hasUmbrellasForRent
Indicates that one entity offers umbrellas available for temporary rental use by others.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 3:06 p.m.