Triple
T20554089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lajpat Nagar metro station |
E504670
|
entity |
| Predicate | hasLastMileConnectivity |
P140535
|
FINISHED |
| Object | auto rickshaws |
—
|
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: auto rickshaws | Statement: [Lajpat Nagar metro station, hasLastMileConnectivity, auto rickshaws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLastMileConnectivity Context triple: [Lajpat Nagar metro station, hasLastMileConnectivity, auto rickshaws]
-
A.
isDeliveredThrough
Indicates that something is transmitted, conveyed, or provided by means of a specified channel, method, or medium.
-
B.
offersDeliveryTo
Indicates that one entity provides delivery services to another entity or location.
-
C.
hasSatelliteTerminal
Indicates that an entity is equipped with or connected to a satellite communication terminal.
-
D.
hasFreightFacility
Indicates that an entity is equipped with or connected to a facility used for handling, loading, unloading, or storing freight.
-
E.
isPartOfNetworkServing
Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dbe96c8190a278dfefdb4a5c43 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.