Triple
T7017632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 37 |
E162734
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Goalpara |
E492705
|
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: Goalpara | Statement: [National Highway 37, connects, Goalpara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goalpara Context triple: [National Highway 37, connects, Goalpara]
-
A.
Goalpara
chosen
Goalpara is a town in the Indian state of Assam, known historically as an important administrative and commercial center in the region.
-
B.
Baddo
Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
-
C.
Baddo
Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
-
D.
Gayndah
Gayndah is a historic rural town in Queensland, Australia, known for its citrus industry and status as one of the state’s oldest inland settlements.
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e79c108190a507335e9dbf2716 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775656fe48190a9690f5aaca3ba4c |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:34 p.m.