Triple
T3135384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitama |
E65514
|
entity |
| Predicate | hasRoadNetworkQuality |
P45580
|
FINISHED |
| Object | good |
—
|
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: good | Statement: [Maitama, hasRoadNetworkQuality, good]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadNetworkQuality Context triple: [Maitama, hasRoadNetworkQuality, good]
-
A.
isPublicRoadNetwork
Indicates that a given road network is officially designated for public use and accessible to the general public for transportation.
-
B.
hasRoadConfiguration
Indicates that there exists a specific arrangement or layout of roads associated with or characterizing an entity.
-
C.
hasRoadPass
Indicates that an entity possesses a valid authorization or permit required to use a specific road or road network.
-
D.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
E.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
- F. None of above. chosen
Provenance (4 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5637de0819089393429c4017298 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:05 p.m.