Triple
T9572315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serrivomeridae |
E230952
|
entity |
| Predicate | eyeSize |
P51923
|
FINISHED |
| Object | relatively large for deep-sea environment |
—
|
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: relatively large for deep-sea environment | Statement: [Serrivomeridae, eyeSize, relatively large for deep-sea environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeSize Context triple: [Serrivomeridae, eyeSize, relatively large for deep-sea environment]
-
A.
eyeCount
Indicates the number of eyes an entity has.
-
B.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
C.
oculusDiameter
Indicates the diameter measurement of an oculus (a circular opening), relating the opening to the size of its circular span.
-
D.
eyeCharacteristic
chosen
Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
-
E.
hasEyes
Indicates that an entity possesses eyes as physical features.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998bf20881909fad48ecb16dfa31 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.