Triple
T20465773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDSS-2 |
E502043
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | LDSS3 |
—
|
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: LDSS3 | Statement: [LDSS-2, replacedBy, LDSS3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LDSS3 Context triple: [LDSS-2, replacedBy, LDSS3]
-
A.
LDSS3
chosen
LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
-
B.
LDSS-2
LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
-
C.
LSS
LSS is the student-run representative organization for law students at Dalhousie University’s Schulich School of Law.
-
D.
LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
-
E.
SDDS
SDDS (Sony Dynamic Digital Sound) is a multichannel digital cinema sound format developed by Sony to provide high-quality, immersive audio in movie theaters.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696aa0794819082c9989b1f7e9f37 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.