Triple
T29860452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foucault (lunar crater) |
E758297
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object |
Wargentin (lunar crater)
Wargentin is a distinctive lunar impact crater notable for being completely filled with solidified lava, forming a raised, plateau-like surface above the surrounding terrain.
|
E1888351
|
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: Wargentin (lunar crater) | Statement: [Foucault (lunar crater), isNear, Wargentin (lunar crater)]
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: Wargentin (lunar crater) Triple: [Foucault (lunar crater), isNear, Wargentin (lunar crater)]
Generated description
Wargentin is a distinctive lunar impact crater notable for being completely filled with solidified lava, forming a raised, plateau-like surface above the surrounding terrain.
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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67684c1fc8190863407fee93628b9 |
completed | May 2, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26f1c75c3c8190a5dd90b9be74426b |
completed | June 8, 2026, 4:45 p.m. |
| NEDg | Description generation | batch_6a26f28951d0819093b834f08eff940b |
completed | June 8, 2026, 4:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a26f365e1448190bc8539feec582fd7 |
completed | June 8, 2026, 4:52 p.m. |
Created at: April 29, 2026, 5:48 p.m.