Triple
T673866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini South Observatory |
E13035
|
entity |
| Predicate | firstLight |
P5495
|
FINISHED |
| Object | 2000 |
—
|
LITERAL 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: 2000 | Statement: [Gemini South Observatory, firstLight, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLight Context triple: [Gemini South Observatory, firstLight, 2000]
-
A.
expectedFirstLight
Indicates the anticipated time or occurrence of the first appearance of light, such as dawn or initial illumination, in a given context.
-
B.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
C.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
D.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
E.
firstLitAt
chosen
Indicates that a particular object or location becomes illuminated or receives light for the first time at a specified time or under specified conditions.
- F. None of above.
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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.