Triple
T23652636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Cove State Park |
E584208
|
entity |
| Predicate | numberOfHistoricCottages |
P112710
|
FINISHED |
| Object | more than 40 |
—
|
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: more than 40 | Statement: [Crystal Cove State Park, numberOfHistoricCottages, more than 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHistoricCottages Context triple: [Crystal Cove State Park, numberOfHistoricCottages, more than 40]
-
A.
hasNumberOfCottages
chosen
Indicates the quantity of cottages associated with a given entity.
-
B.
containsHistoricHouse
Indicates that one entity includes or encompasses a historic house within its boundaries or composition.
-
C.
hasNumberOfKeepersCottages
Indicates the number of keepers’ cottages associated with or belonging to a particular entity.
-
D.
housingTypeHistoric
Indicates that an entity’s housing type is classified based on historical or heritage-related characteristics.
-
E.
hasHistoricHut
Indicates that an entity possesses, contains, or is associated with a historic hut.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b358ce448190a654d2cd3e81ef83 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.