Triple
T33839429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apennine Mountains (Moon) |
E867318
|
entity |
| Predicate | isLandingRegionOf |
P90110
|
FINISHED |
| Object | Apollo 15 |
—
|
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: Apollo 15 | Statement: [Apennine Mountains (Moon), isLandingRegionOf, Apollo 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLandingRegionOf Context triple: [Apennine Mountains (Moon), isLandingRegionOf, Apollo 15]
-
A.
isMajorLandingRegion
Indicates that a location serves as a primary or significant area where landings (such as aircraft, spacecraft, or vessels) commonly occur.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
intendedLandingRegion
chosen
Indicates the geographic area or region where something is planned or expected to land.
-
D.
isPortRegionOf
Indicates that a region functions as the port area associated with, or belonging to, a particular larger geographic or administrative entity.
-
E.
isLandfallOf
Indicates that a particular event or location is the point or instance where something (typically a storm, cyclone, or similar phenomenon) comes ashore from a body of water onto land.
- F. None of above.
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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7004e55988190a2d35d4a95a34610 |
completed | May 3, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.