Triple
T18749455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palam, Delhi |
E458488
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Palam metro station |
—
|
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: Palam metro station | Statement: [Palam, Delhi, hasMetroStation, Palam metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palam metro station Context triple: [Palam, Delhi, hasMetroStation, Palam metro station]
-
A.
Palam metro station
chosen
Palam metro station is an elevated station on the Delhi Metro network serving the Palam area in southwest Delhi, India.
-
B.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
C.
Jasmin metro station
Jasmin metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 in a primarily residential area on the city's western side.
-
D.
Lakdi-ka-pul metro station
Lakdi-ka-pul metro station is an elevated station on the Hyderabad Metro system serving the busy Lakdi-ka-pul area near central Hyderabad.
-
E.
Nyamiha metro station
Nyamiha metro station is a Minsk Metro station named after and located near the historic Nyamiha River in central Minsk, Belarus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.