Triple
T14050348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumuokoro |
E338071
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Aba |
E82542
|
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: Aba | Statement: [Rumuokoro, connectsTo, Aba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aba Context triple: [Rumuokoro, connectsTo, Aba]
-
A.
Aba
chosen
Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
-
B.
Aba
Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
-
C.
Itabi
Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
-
D.
AbaBemba
AbaBemba are a major Bantu ethnic group primarily found in northern Zambia, known for their rich cultural traditions, centralized chieftaincy, and historical Bemba Kingdom.
-
E.
Abis
Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc345a4c081908f803cc53b4f8bca |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.