Triple
T10389463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIGO |
E244851
|
entity |
| Predicate | firstDirectDetectionOfGravitationalWaves |
P93946
|
FINISHED |
| Object | 2015-09-14 |
—
|
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: 2015-09-14 | Statement: [LIGO, firstDirectDetectionOfGravitationalWaves, 2015-09-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDirectDetectionOfGravitationalWaves Context triple: [LIGO, firstDirectDetectionOfGravitationalWaves, 2015-09-14]
-
A.
firstObjectDiscovered
Indicates that the referenced object is the earliest one identified or detected in a given context or sequence.
-
B.
Arecibo message
Indicates the act of transmitting an interstellar radio message (the Arecibo message) from Earth toward space as a form of communication with potential extraterrestrial intelligence.
-
C.
firstWave
Indicates that the referenced event, action, or group occurs as the initial or earliest wave in a sequence of waves.
-
D.
wasWorldsLargestSingleDishRadioTelescope
Indicates that the subject held the status of being the world’s largest single-dish radio telescope during a particular period.
-
E.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b40dd8819080ac839487020a44 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.