Triple
T8409651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 16 |
E198588
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Ongole
Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
|
E731481
|
NE FINISHED |
How this triple was built (4 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: Ongole | Statement: [National Highway 16, connectsCity, Ongole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ongole Context triple: [National Highway 16, connectsCity, Ongole]
-
A.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
-
B.
Poilão
Poilão is a small, uninhabited island in Guinea-Bissau’s Bijagós Archipelago, renowned as one of the world’s most important nesting sites for green sea turtles.
-
C.
Machar
Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
-
D.
Yaka
Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
-
E.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ongole Triple: [National Highway 16, connectsCity, Ongole]
Generated description
Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ongole Target entity description: Ongole is a city in the Prakasam district of Andhra Pradesh, India, known for its agricultural markets and the internationally recognized Ongole cattle breed.
-
A.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
-
B.
Poilão
Poilão is a small, uninhabited island in Guinea-Bissau’s Bijagós Archipelago, renowned as one of the world’s most important nesting sites for green sea turtles.
-
C.
Machar
Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
-
D.
Yaka
Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
-
E.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- F. None of above. chosen
Provenance (5 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8317045c8190b69cc99854b633be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0317cb188190b207bcaffb629a75 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.