Triple
T31992849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buildah |
E816915
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
containers organization on GitHub
The containers organization on GitHub is a collaborative open-source group that develops and maintains container-related tools and projects in the Linux ecosystem.
|
E1986598
|
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: containers organization on GitHub | Statement: [Buildah, developer, containers organization on GitHub]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: containers organization on GitHub Triple: [Buildah, developer, containers organization on GitHub]
Generated description
The containers organization on GitHub is a collaborative open-source group that develops and maintains container-related tools and projects in the Linux ecosystem.
Provenance (5 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3badf8481909377856a516a982b |
completed | May 3, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb15a3a648190b9e55ac63c57b238 |
completed | June 14, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a2eb26e95e48190ac2874da8190cf01 |
completed | June 14, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2eb30a4d5081908fb873c1d8048e1c |
completed | June 14, 2026, 1:56 p.m. |
Created at: May 1, 2026, 12:13 a.m.