Triple
T156746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleiades |
E3196
|
entity |
| Predicate | containsStar |
P1393
|
FINISHED |
| Object | Taygeta |
E10773
|
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: Taygeta | Statement: [Pleiades, containsStar, Taygeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taygeta Context triple: [Pleiades, containsStar, Taygeta]
-
A.
Mount Olympus
Mount Olympus is a famous mountain in northern Greece renowned in Greek mythology as the home of the Olympian gods and goddesses.
-
B.
Pindus Mountains
The Pindus Mountains are a major mountain range in northern Greece, known for their rugged peaks, deep gorges, and rich biodiversity, often called the "spine of Greece."
-
C.
Taygete
chosen
Taygete is a figure from Greek mythology, one of the Pleiad nymphs and a daughter of the Titan Atlas.
-
D.
Meteora
Meteora is a spectacular rock formation in central Greece famous for its centuries-old monasteries perched atop towering sandstone pillars and recognized as a UNESCO World Heritage Site.
-
E.
Monte San Valentín
Monte San Valentín is a prominent glaciated mountain in Chilean Patagonia and the region’s highest summit, known for its remote location and challenging climbing conditions.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bac998c819099f2bed899220a78 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31c8fe0ec81908e96c597c5f949b7 |
completed | Feb. 28, 2026, 4:49 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.