Triple
T16807669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blok DM |
E408519
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Block DM |
E408519
|
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: Block DM | Statement: [Blok DM, alternativeName, Block DM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Block DM Context triple: [Blok DM, alternativeName, Block DM]
-
A.
Blok DM
chosen
Blok DM is a Russian upper stage used primarily on Proton and Zenit launch vehicles to deliver payloads into high-energy orbits such as geostationary transfer and lunar trajectories.
-
B.
.dm
.dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
-
C.
Blocker
Blocker is a surname most notably associated with American actors Dan Blocker and his son Dirk Blocker.
-
D.
Banning
Banning is a small city in Southern California known for its location along the I-10 corridor between Los Angeles and Palm Springs.
-
E.
Blockers
Blockers is a 2018 American comedy film about overprotective parents trying to stop their daughters’ prom-night sex pact.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28f125481909664363904f4c031 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.