Triple
T18695483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurus molecular cloud complex |
E457104
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | TMC-1C |
—
|
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: TMC-1C | Statement: [Taurus molecular cloud complex, hasSubregion, TMC-1C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMC-1C Context triple: [Taurus molecular cloud complex, hasSubregion, TMC-1C]
-
A.
TMC-1
chosen
TMC-1 is a dense, cold molecular cloud core in the Taurus region renowned for its rich and complex interstellar chemistry.
-
B.
TMC-2
TMC-2 is a dense, star-forming molecular cloud core within the Taurus molecular cloud complex, notable for its rich inventory of interstellar molecules.
-
C.
TMC 2
TMC 2 is a high-resolution terrain mapping camera used on Indian lunar missions to capture detailed three-dimensional images of the Moon’s surface.
-
D.
TRICOM-1R
TRICOM-1R is a small Japanese experimental communications and technology demonstration satellite developed by the University of Tokyo.
-
E.
T-1 Jungmann
The T-1 Jungmann is a Japanese-built version of the Bücker Bü 131 primary training biplane, used for pilot instruction before and during World War II.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.