Triple
T14016004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT (French digital terrestrial television) |
E337204
|
entity |
| Predicate | includesChannel |
P8080
|
FINISHED |
| Object | TMC |
E339502
|
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: TMC | Statement: [TNT (French digital terrestrial television), includesChannel, TMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMC Context triple: [TNT (French digital terrestrial television), includesChannel, TMC]
-
A.
TMC
chosen
TMC is a French television channel specializing in general entertainment programming, owned by the TF1 Group.
-
B.
TMC
TMC is a major Indian political party, formally known as the All India Trinamool Congress, primarily influential in the state of West Bengal.
-
C.
TMC
TMC is a commonly used abbreviation for the Indian city of Thane, particularly in the context of its municipal corporation and local governance.
-
D.
TMC
TMC is the commonly used abbreviation for Thurgood Marshall College, one of the undergraduate colleges at the University of California, San Diego.
-
E.
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.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.