Triple
T4872019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 44 |
E109106
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Ludhiana |
E110219
|
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: Ludhiana | Statement: [NH 44, connectsCity, Ludhiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludhiana Context triple: [NH 44, connectsCity, Ludhiana]
-
A.
Ludhiana
chosen
Ludhiana is a major industrial city in the Indian state of Punjab, known especially for its textile and hosiery manufacturing.
-
B.
Jalandhar
Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
-
C.
Patiala
Patiala is a historic city in the Indian state of Punjab, known for its royal heritage, distinctive architecture, and cultural contributions such as the Patiala peg and Patiala salwar.
-
D.
Ferozepur
Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
-
E.
Mohali
Mohali is a planned city in the Indian state of Punjab, forming part of the Chandigarh Tricity region and known for its IT industry and international cricket stadium.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9e27908190a0c4540ee2559c4b |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfa0b4fc8190bf9ee8abf1684503 |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.