Triple
T28887963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panam City |
E732617
|
entity |
| Predicate | numberOfMainStreets |
P28807
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Panam City, numberOfMainStreets, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainStreets Context triple: [Panam City, numberOfMainStreets, 1]
-
A.
hasNumberOfStreets
Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
-
B.
numberOfConvergingStreets
Indicates the count of distinct streets that meet or intersect at a particular junction or location.
-
C.
numberOfRoadways
chosen
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
D.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
E.
isMajorCommercialStreetOf
Indicates that a street serves as a primary, heavily used route for commercial activity within a specified area or locality.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 28, 2026, 7:52 a.m.