Triple
T12013847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States seacoast defense systems |
E285972
|
entity |
| Predicate | manySitesConvertedTo |
P91350
|
FINISHED |
| Object | public parks |
—
|
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: public parks | Statement: [United States seacoast defense systems, manySitesConvertedTo, public parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manySitesConvertedTo Context triple: [United States seacoast defense systems, manySitesConvertedTo, public parks]
-
A.
someConvertedTo
chosen
Indicates that a portion of one entity has been transformed or changed into another entity.
-
B.
someUnitsConvertedTo
Indicates that a quantity expressed in one unit of measurement has been transformed into an equivalent quantity expressed in another unit.
-
C.
numberOfSites
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
D.
placeOfConversion
Indicates the location where an entity undergoes a religious, ideological, or formal conversion.
-
E.
helpedConvert
Indicates that one entity assisted another in changing, transforming, or transitioning something from one state, form, or system to another.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.