Triple
T3421227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eSIM |
E72118
|
entity |
| Predicate | eliminatesNeedFor |
P9925
|
FINISHED |
| Object | removable SIM card tray |
—
|
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: removable SIM card tray | Statement: [eSIM, eliminatesNeedFor, removable SIM card tray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliminatesNeedFor Context triple: [eSIM, eliminatesNeedFor, removable SIM card tray]
-
A.
recognizedNeedFor
Indicates that one entity has identified or acknowledged the necessity or requirement for another entity or condition.
-
B.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
C.
needBased
Indicates that something is determined, allocated, or provided according to the level of need rather than uniform or fixed criteria.
-
D.
reduces
chosen
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
E.
designedToAvoid
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb950f65481908c4aad15516e7a7c |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.