Triple
T34524508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varca Beach |
E886363
|
entity |
| Predicate | crowdLevelComparedTo |
P81846
|
FINISHED |
| Object | less crowded than Colva Beach |
—
|
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: less crowded than Colva Beach | Statement: [Varca Beach, crowdLevelComparedTo, less crowded than Colva Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crowdLevelComparedTo Context triple: [Varca Beach, crowdLevelComparedTo, less crowded than Colva Beach]
-
A.
hasCrowdLevel
Indicates the degree or intensity of how crowded a place, event, or situation is.
-
B.
isLessCrowdedThan
chosen
Indicates that one place, event, or situation has fewer people present than another for comparison.
-
C.
crowdWas
Indicates that a crowd possessed or exhibited a particular state, quality, or condition.
-
D.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
-
E.
hasLiveCrowdOutside
Indicates that there is a live, physically present crowd gathered outside a specified location or entity.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb5aa008190a40453a4139851b3 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.