Triple
T1153238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Altos Hills, California |
E23723
|
entity |
| Predicate | minimumLotSizePolicy |
P5723
|
FINISHED |
| Object | large minimum lot sizes for residential parcels |
—
|
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: large minimum lot sizes for residential parcels | Statement: [Los Altos Hills, California, minimumLotSizePolicy, large minimum lot sizes for residential parcels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumLotSizePolicy Context triple: [Los Altos Hills, California, minimumLotSizePolicy, large minimum lot sizes for residential parcels]
-
A.
hasLotSize
chosen
Indicates that an entity possesses a specific amount or extent of physical area, typically referring to the size of a parcel of land or property lot.
-
B.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
-
C.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
D.
minimumPriceFluctuation
Indicates the smallest allowable change or increment by which a price is permitted to move in the given context.
-
E.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.