Triple
T17345837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Is It Like to Be a Bat? |
E421685
|
entity |
| Predicate | centralExample |
P127119
|
FINISHED |
| Object | bat |
—
|
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: bat | Statement: [What Is It Like to Be a Bat?, centralExample, bat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralExample Context triple: [What Is It Like to Be a Bat?, centralExample, bat]
-
A.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
B.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
C.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
D.
centralEntity
Indicates that the subject serves as the primary or most important entity around which related entities, actions, or information are organized.
-
E.
centralTest
Indicates that an entity serves as the primary or core test within a set of tests or an evaluation process.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a286d34819080c5148c220fd5a1 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.