Triple
T12514219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | uClibc |
E299155
|
entity |
| Predicate | alternativeTo |
P5887
|
FINISHED |
| Object | dietlibc |
E299156
|
NE 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: dietlibc | Statement: [uClibc, alternativeTo, dietlibc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dietlibc Context triple: [uClibc, alternativeTo, dietlibc]
-
A.
dietlibc
chosen
dietlibc is a small, fast, and lightweight C standard library implementation designed primarily for static linking and size-constrained Linux systems.
-
B.
Dietes
Dietes is a small genus of evergreen, rhizomatous flowering plants commonly known as fortnight lilies or African irises, cultivated for their iris-like blooms and hardiness in ornamental gardens.
-
C.
Diyet
Diyet is a Turkish film best known as one of the prominent works in the career of acclaimed actress Hülya Koçyiğit.
-
D.
Persona Nutrition
Persona Nutrition is a personalized vitamin and supplement subscription service that tailors daily packs to individual health needs and lifestyles.
-
E.
Atkins
Atkins is an English patronymic surname that originated as a diminutive form of the given name Adam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541e752c8190bf12d2b5a37b53df |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.