Triple
T12573059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanade–Lucas–Tomasi feature tracker |
E295650
|
entity |
| Predicate | robustness |
P67874
|
FINISHED |
| Object | handles partial occlusions of features |
—
|
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: handles partial occlusions of features | Statement: [Kanade–Lucas–Tomasi feature tracker, robustness, handles partial occlusions of features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robustness Context triple: [Kanade–Lucas–Tomasi feature tracker, robustness, handles partial occlusions of features]
-
A.
isResistant
chosen
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
B.
ability
Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
-
C.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
D.
strength
Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
-
E.
stabilityCharacteristic
Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity or system.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.