Triple
T30007994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arago (lunar crater) |
E762376
|
entity |
| Predicate | mareRegion |
P168351
|
FINISHED |
| Object | central Mare Tranquillitatis |
—
|
LITERAL 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: central Mare Tranquillitatis | Statement: [Arago (lunar crater), mareRegion, central Mare Tranquillitatis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mareRegion Context triple: [Arago (lunar crater), mareRegion, central Mare Tranquillitatis]
-
A.
missionRegion
Indicates the geographic or administrative region in which a mission is carried out or assigned.
-
B.
ianaArea
Indicates that one entity is associated with, or falls within, a specific IANA-defined geographic or administrative area represented by the other entity.
-
C.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
D.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
E.
riverRegion
Indicates that a river is located within, flows through, or is otherwise geographically associated with a particular region.
- F. None of above. chosen
Provenance (4 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67953393481909fce15619f1a1c10 |
completed | May 2, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:43 p.m.