Triple
T11268507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Trunk Road |
E266749
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | GT Road |
E266749
|
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: GT Road | Statement: [Grand Trunk Road, alsoKnownAs, GT Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GT Road Context triple: [Grand Trunk Road, alsoKnownAs, GT Road]
-
A.
GT Road
chosen
GT Road, or Grand Trunk Road, is one of South Asia’s oldest and longest major highways, historically linking key cities across present-day Pakistan, India, and Bangladesh.
-
B.
MG Road
MG Road is a busy elevated metro station and commercial hub in Gurgaon, India, known for its proximity to major malls and offices along the Delhi Metro’s Yellow Line.
-
C.
MG Road
MG Road is a major thoroughfare in Guwahati, Assam, known for its commercial importance and proximity to key landmarks such as the Guwahati Planetarium.
-
D.
Rolling Road
Rolling Road is a major north–south thoroughfare in Northern Virginia that serves residential communities and connects with several key regional routes.
-
E.
Via GTI
Via GTI was a French public transport operator that managed bus and coach services before being succeeded by Keolis.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.