Triple
T31851644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TensorFlow GraphDef |
E813079
|
entity |
| Predicate | canBeDeserializedWith |
P147417
|
FINISHED |
| Object | tf.compat.v1.GraphDef.ParseFromString |
—
|
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: tf.compat.v1.GraphDef.ParseFromString | Statement: [TensorFlow GraphDef, canBeDeserializedWith, tf.compat.v1.GraphDef.ParseFromString]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeDeserializedWith Context triple: [TensorFlow GraphDef, canBeDeserializedWith, tf.compat.v1.GraphDef.ParseFromString]
-
A.
isSerializableIn
Indicates that something can be converted into a specific format or representation suitable for storage or transmission within a given context or system.
-
B.
hasSerialization
Indicates that one entity is represented, encoded, or stored as a serialized form in another entity.
-
C.
supportsSerialization
chosen
Indicates that an entity is capable of being converted to and from a serialized form for storage or transmission.
-
D.
isSerializable
Indicates that an object or data structure can be converted into a storable or transmittable format and later reconstructed.
-
E.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 30, 2026, 11:51 p.m.