Triple
T20935066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abell 3627 |
E515562
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Norma Cluster |
—
|
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: Norma Cluster | Statement: [Abell 3627, hasAlternativeName, Norma Cluster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Cluster Context triple: [Abell 3627, hasAlternativeName, Norma Cluster]
-
A.
Norma Cluster
chosen
Norma Cluster is a massive galaxy cluster located in the dense, obscured region of the sky known as the Zone of Avoidance and plays a key role in the gravitational dynamics of the local universe.
-
B.
Laizo-Falam cluster
The Laizo-Falam cluster is a group of closely related dialects of the Falam Chin language spoken by Chin communities in western Myanmar.
-
C.
Berta cluster
Berta cluster is a group of closely related Berta languages spoken primarily in the border regions of Sudan and Ethiopia.
-
D.
Lotuko–Maa cluster
The Lotuko–Maa cluster is a subgroup of Eastern Nilotic languages spoken primarily in South Sudan and Kenya, including languages such as Lotuko and Maasai.
-
E.
Oinousses cluster
Oinousses cluster is a small group of Greek islands in the Aegean Sea, known for their maritime tradition and picturesque, sparsely populated landscapes.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.