Triple
T206908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyades |
E4628
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Atlas |
E18778
|
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: Atlas | Statement: [Hyades, parent, Atlas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlas Context triple: [Hyades, parent, Atlas]
-
A.
Atlas
chosen
Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
-
B.
Ascension
Ascension is a major Christian feast commemorating Jesus Christ’s bodily ascent into heaven 40 days after his resurrection.
-
C.
Titan
Titan is the largest moon of Saturn and one of the most intriguing bodies in the Solar System, known for its dense nitrogen-rich atmosphere and hydrocarbon lakes.
-
D.
Eureka
Eureka is a historic coastal city in Northern California known for its Victorian architecture, maritime heritage, and role as a regional cultural and economic center.
-
E.
The Crossroads of the World
The Crossroads of the World is a famous nickname for New York City's Times Square, a major commercial and entertainment hub renowned for its bright billboards, Broadway theaters, and bustling pedestrian traffic.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c0601bc81909a268ca9e751d5bb |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a338e6c2bc81908fbc7402770ab35b |
completed | Feb. 28, 2026, 6:50 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.