Triple
T23266128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth District Supervisor |
E588151
|
entity |
| Predicate | numberOfDistrictsInBoard |
P1679
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Fifth District Supervisor, numberOfDistrictsInBoard, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDistrictsInBoard Context triple: [Fifth District Supervisor, numberOfDistrictsInBoard, 5]
-
A.
numberOfDistricts
chosen
Indicates the total count of districts associated with a given entity or area.
-
B.
numberOfAreaBoards
Indicates the total count of area boards associated with or defined for a given entity or context.
-
C.
numberOfTerritories
Indicates the total count of territories associated with a given entity.
-
D.
numberOfDistrictMembers
Indicates the relationship that specifies how many members are associated with a given district.
-
E.
numberOfDistrictsPeak
Indicates the maximum number of districts that an entity reaches or has at its highest point over a given period or context.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cd13b48190a9c282545a34f348 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:36 p.m.