Triple
T16336464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRISM |
E396690
|
entity |
| Predicate | mountedOn |
P3054
|
FINISHED |
| Object | ALOS |
E88136
|
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: ALOS | Statement: [PRISM, mountedOn, ALOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALOS Context triple: [PRISM, mountedOn, ALOS]
-
A.
ALOS Earth observation satellites
chosen
ALOS Earth observation satellites are Japanese remote-sensing spacecraft designed to collect high-resolution imagery and data for mapping, disaster monitoring, and environmental observation.
-
B.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
C.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
D.
A-Train
A-Train is a super-speed-powered superhero and member of the Seven in the TV series "The Boys," known for his reckless behavior and role in key tragic events.
-
E.
MCD-5
MCD-5 is a planned line of the Moscow Central Diameters commuter rail system intended to provide cross-city rail connectivity across Moscow and its surrounding region.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003556630081909e60e378e97b06fb |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.