Triple
T16359607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge interferometer arrays |
E397275
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | 4C survey |
E1208864
|
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: 4C survey | Statement: [Cambridge interferometer arrays, usedIn, 4C survey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4C survey Context triple: [Cambridge interferometer arrays, usedIn, 4C survey]
-
A.
4C survey
chosen
The 4C survey is a major Cambridge radio astronomy catalog that systematically mapped and listed thousands of radio sources across the sky.
-
B.
3C survey
The 3C survey is a pioneering mid-20th-century radio astronomy catalog that systematically mapped and listed strong radio sources across the sky, greatly advancing the study of quasars and radio galaxies.
-
C.
7C survey
The 7C survey is a Cambridge radio astronomy project that mapped faint radio sources across large areas of the sky at low frequencies.
-
D.
Qualtrics
Qualtrics is an experience management and survey software company known for helping organizations collect and analyze customer, employee, product, and brand feedback.
-
E.
Surveys 360
Surveys 360 is an enterprise-level online survey and market research tool within Google’s marketing and analytics ecosystem, designed to help businesses gather and analyze customer insights at scale.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad241848190a9f32c7b050f20a5 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00355df6188190929be8584b5ac87e |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.