Triple
T12350242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garki I |
E294463
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Garki |
E61199
|
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: Garki | Statement: [Garki I, locatedIn, Garki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garki Context triple: [Garki I, locatedIn, Garki]
-
A.
Garki
chosen
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
-
B.
Guraru
Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
-
C.
Dschang
Dschang is a city in western Cameroon known as an important educational and cultural center, home to the University of Dschang and a mild highland climate.
-
D.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
E.
Garuwa
Garuwa is the Indigenous name used by local Aboriginal people for Australia’s Karuah River.
- 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_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_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.