Triple
T16692459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orb-1 |
E405627
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Orb-2 |
E405627
|
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: Orb-2 | Statement: [Orb-1, followedBy, Orb-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orb-2 Context triple: [Orb-1, followedBy, Orb-2]
-
A.
Orb-1
chosen
Orb-1 was the first operational cargo resupply mission flown by Orbital Sciences’ Cygnus spacecraft to the International Space Station under NASA’s Commercial Resupply Services program.
-
B.
Orb
Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
-
C.
Orb
The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
D.
Orb
The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
-
E.
Orbitron
Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.