Triple
T27662409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chubby lock service |
E697153
|
entity |
| Predicate | clientInteraction |
P66544
|
FINISHED |
| Object | clients acquire locks via file operations |
—
|
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: clients acquire locks via file operations | Statement: [Chubby lock service, clientInteraction, clients acquire locks via file operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clientInteraction Context triple: [Chubby lock service, clientInteraction, clients acquire locks via file operations]
-
A.
interactionWithHumans
Indicates a relationship where an entity engages in some form of contact, communication, or mutual influence with humans.
-
B.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
-
C.
intendedAudienceInteraction
Indicates that one entity is the target group or audience with whom another entity is meant to interact or engage.
-
D.
partnerInteraction
Indicates an interaction or engagement occurring specifically between partners in a relationship or collaboration.
-
E.
interactionMechanism
chosen
Indicates the process or means by which one entity affects, influences, or interacts with another.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:37 p.m.