Triple
T16184988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Line Metro Train Lahore |
E392776
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Dera Gujran depot |
E1111488
|
NE 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: Dera Gujran depot | Statement: [Orange Line Metro Train Lahore, depot, Dera Gujran depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dera Gujran depot Context triple: [Orange Line Metro Train Lahore, depot, Dera Gujran depot]
-
A.
Rithala Depot
Rithala Depot is a major maintenance and stabling facility serving the northern terminus of the Delhi Metro’s Red Line.
-
B.
Dera Gujran
chosen
Dera Gujran is a locality in Lahore, Pakistan, known for serving as the terminal station of the city's Orange Line Metro Train.
-
C.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
D.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
E.
Nadiad Junction
Nadiad Junction is a major railway station in Gujarat, India, serving as an important stop and interchange on the Western Railway network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22060dcf88190b7c662946a5f0191 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0550b48190ac84946b7254552b |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.