Triple
T22296912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arneb |
E551144
|
entity |
| Predicate | hasConstellationAbbreviation |
P8075
|
FINISHED |
| Object | Lep |
—
|
NE NERFINISHED |
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: Lep | Statement: [Arneb, hasConstellationAbbreviation, Lep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lep Context triple: [Arneb, hasConstellationAbbreviation, Lep]
-
A.
Lep
chosen
Lep is the official three-letter IAU abbreviation for Lepus, a southern sky constellation located just below Orion.
-
B.
Lepar
Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
-
C.
Lepetane
Lepetane is a small coastal village in Montenegro situated at the entrance of the Bay of Kotor, known for its ferry connection across the bay.
-
D.
Lepe
Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
-
E.
Lepe
Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15720fba0819080f6c96f6df4f1e0 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.