Triple
T11270478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasure Island, San Francisco, California, United States |
E266797
|
entity |
| Predicate | landfillSource |
P37561
|
FINISHED |
| Object | Bay mud and rock fill |
—
|
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: Bay mud and rock fill | Statement: [Treasure Island, San Francisco, California, United States, landfillSource, Bay mud and rock fill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfillSource Context triple: [Treasure Island, San Francisco, California, United States, landfillSource, Bay mud and rock fill]
-
A.
landfilledFrom
chosen
Indicates that material, waste, or items originate from a specified source and are disposed of by being placed into a landfill at the target location.
-
B.
wasteOrigin
Indicates that one entity is the original source or point of generation of a particular waste associated with another entity.
-
C.
wasteManagement
Indicates the handling, treatment, and disposal relationship between entities and the waste materials they produce or manage.
-
D.
pollutionSource
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
E.
typeOfWasteCovered
Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.