Triple
T9284825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South San Francisco Unified School District |
E223164
|
entity |
| Predicate | offersGradeRange |
P87389
|
FINISHED |
| Object | K–12 |
—
|
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: K–12 | Statement: [South San Francisco Unified School District, offersGradeRange, K–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersGradeRange Context triple: [South San Francisco Unified School District, offersGradeRange, K–12]
-
A.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
B.
offersGrades
Indicates that one entity provides or assigns academic grades to another entity.
-
C.
priceCategory
Indicates the classification of an item or service based on its price level or cost range.
-
D.
offersCapacityRange
Indicates that an entity provides or makes available a service, product, or resource whose capacity is specified as a range between a minimum and maximum value.
-
E.
offersTrimLevel
Indicates that a product or model is available in a specific trim level or configuration option.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081fe8cc8190b6c1b481c7129689 |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:34 p.m.