Triple
T24041088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress Avenue Bridge |
E595376
|
entity |
| Predicate | batColonySize |
P52485
|
FINISHED |
| Object | over one million bats |
—
|
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: over one million bats | Statement: [Congress Avenue Bridge, batColonySize, over one million bats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batColonySize Context triple: [Congress Avenue Bridge, batColonySize, over one million bats]
-
A.
colonySize
chosen
Indicates the number of individuals or units that make up a colony in the described context.
-
B.
colonyDensity
Indicates the concentration or number of colonies present within a given area or volume.
-
C.
queenNumberPerColony
Indicates the number of queens present in each individual colony.
-
D.
colonyColor
Indicates the characteristic color exhibited by a colony (such as a microbial or biological colony) as an observable trait.
-
E.
nestsInColonies
Indicates that the subject species forms and occupies communal nesting sites together with others of its kind.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d8b7248190a4e7f152d6bfc2bc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:57 p.m.