Triple
T12350283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gateway to Abuja |
E294464
|
entity |
| Predicate | relatedPlace |
P3158
|
FINISHED |
| Object |
Madalla
Madalla is a town in Niger State, Nigeria, situated along the main route leading into the nation’s capital, Abuja.
|
E977681
|
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: Madalla | Statement: [Gateway to Abuja, relatedPlace, Madalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madalla Context triple: [Gateway to Abuja, relatedPlace, Madalla]
-
A.
Laudot
Laudot is a small river in southern France that serves as the main feeder stream for the Lac de Saint-Ferréol reservoir, historically linked to the Canal du Midi water system.
-
B.
Medalla Milagrosa
Medalla Milagrosa is a station on the Buenos Aires Underground, located in the city’s southeastern area and serving the Line E route.
-
C.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
-
D.
Goldene Stimmgabel
The Goldene Stimmgabel was a prominent German music award recognizing popular singers and musicians, particularly in the Schlager and pop genres.
-
E.
Mistrató
Mistrató is a small municipality in the Colombian coffee-growing region, located in the western part of the Risaralda Department.
- 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: Madalla Triple: [Gateway to Abuja, relatedPlace, Madalla]
Generated description
Madalla is a town in Niger State, Nigeria, situated along the main route leading into the nation’s capital, Abuja.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madalla Target entity description: Madalla is a town in Niger State, Nigeria, situated along the main route leading into the nation’s capital, Abuja.
-
A.
Laudot
Laudot is a small river in southern France that serves as the main feeder stream for the Lac de Saint-Ferréol reservoir, historically linked to the Canal du Midi water system.
-
B.
Medalla Milagrosa
Medalla Milagrosa is a station on the Buenos Aires Underground, located in the city’s southeastern area and serving the Line E route.
-
C.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
-
D.
Goldene Stimmgabel
The Goldene Stimmgabel was a prominent German music award recognizing popular singers and musicians, particularly in the Schlager and pop genres.
-
E.
Mistrató
Mistrató is a small municipality in the Colombian coffee-growing region, located in the western part of the Risaralda Department.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.