Triple
T3653641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cryptodira |
E77477
|
entity |
| Predicate | neckRetractionMode |
P27468
|
FINISHED |
| Object | vertical |
—
|
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: vertical | Statement: [Cryptodira, neckRetractionMode, vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neckRetractionMode Context triple: [Cryptodira, neckRetractionMode, vertical]
-
A.
hasRetractablePitch
Indicates that an entity (typically a stadium or venue) possesses a playing surface or pitch that can be mechanically extended or withdrawn as needed.
-
B.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
C.
retroflexesNear
Indicates that one entity bends or curves backward in close proximity to another entity.
-
D.
noseGearFeature
Indicates that there is a specific characteristic, component, or design attribute associated with the nose landing gear of an aircraft.
-
E.
modeType
chosen
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.