Triple
T2458919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arecibo Observatory |
E54484
|
entity |
| Predicate | wasWorldsLargestSingleDishRadioTelescope |
P40624
|
FINISHED |
| Object | from 1963 to 2016 |
—
|
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: from 1963 to 2016 | Statement: [Arecibo Observatory, wasWorldsLargestSingleDishRadioTelescope, from 1963 to 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldsLargestSingleDishRadioTelescope Context triple: [Arecibo Observatory, wasWorldsLargestSingleDishRadioTelescope, from 1963 to 2016]
-
A.
firstChineseAntarcticStation
Indicates that the subject is the first Antarctic research station established by China.
-
B.
observatory
Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
-
C.
astronomicalAchievement
Indicates an entity has accomplished a notable or significant feat in the field of astronomy or space exploration.
-
D.
firstSatellite
Indicates that one entity is the first satellite (in order of launch, discovery, or designation) associated with another entity.
-
E.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
- F. None of above. chosen
Provenance (4 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.