Triple
T3165443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaduna |
E66199
|
entity |
| Predicate | distanceFromAbuja |
P42508
|
FINISHED |
| Object | approximately 200 km north of Abuja |
—
|
LITERAL 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: approximately 200 km north of Abuja | Statement: [Kaduna, distanceFromAbuja, approximately 200 km north of Abuja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAbuja Context triple: [Kaduna, distanceFromAbuja, approximately 200 km north of Abuja]
-
A.
distanceToAbuja
chosen
Indicates the spatial distance between a given location or entity and the city of Abuja.
-
B.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
C.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
D.
distanceFromGuwahati_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Guwahati.
-
E.
distanceToCairo_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Cairo.
- F. None of above.
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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6424ee48190a29891ffbbc3811d |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.