Triple
T19672500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanzam Highway |
E472366
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Tanzam
Tanzam is the commonly used abbreviation for the Tanzam Highway, a major road linking Tanzania and Zambia in East and Southern Africa.
|
E1389198
|
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: Tanzam | Statement: [Tanzam Highway, hasAbbreviation, Tanzam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanzam Context triple: [Tanzam Highway, hasAbbreviation, Tanzam]
-
A.
Lusamia
Lusamia is a Bantu language spoken by the Samia people living around the Kenya–Uganda border region in East Africa.
-
B.
Nacala
Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Malaweg
Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
-
E.
Vindza
Vindza is a small town located within the Pool Department of the Republic of the Congo.
- 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: Tanzam Triple: [Tanzam Highway, hasAbbreviation, Tanzam]
Generated description
Tanzam is the commonly used abbreviation for the Tanzam Highway, a major road linking Tanzania and Zambia in East and Southern Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanzam Target entity description: Tanzam is the commonly used abbreviation for the Tanzam Highway, a major road linking Tanzania and Zambia in East and Southern Africa.
-
A.
Lusamia
Lusamia is a Bantu language spoken by the Samia people living around the Kenya–Uganda border region in East Africa.
-
B.
Nacala
Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Malaweg
Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
-
E.
Vindza
Vindza is a small town located within the Pool Department of the Republic of the Congo.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416d61008190af531c6d346d7da1 |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787c08af48190a7253a74bca96aa6 |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a07889ccc9c8190be812f5c9eb0bfe7 |
completed | May 15, 2026, 8:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078a1b11ec81908671f431c39b9496 |
completed | May 15, 2026, 9:03 p.m. |
Created at: April 10, 2026, 1:45 p.m.