Triple
T14952434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oirat people |
E372827
|
entity |
| Predicate | writingSystem |
P454
|
FINISHED |
| Object | Clear Script |
E300217
|
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: Clear Script | Statement: [Oirat people, writingSystem, Clear Script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clear Script Context triple: [Oirat people, writingSystem, Clear Script]
-
A.
Clear script (Todo script)
chosen
Clear script (Todo script) is a vertically written alphabetic script developed in the 17th century for writing Mongolic languages, particularly among the Oirat Mongols.
-
B.
Interface Clear
Interface Clear is a company specializing in building automation and control systems, particularly focused on integrating and managing HVAC and related building technologies.
-
C.
St Clears
St Clears is a small town and community in Carmarthenshire, Wales, known for its historic abbey remains and position near the River Taf.
-
D.
Clearing
Clearing is a residential and industrial neighborhood on the southwest side of Chicago, known for encompassing and surrounding Midway International Airport.
-
E.
Clearing
"Clearing" is a large-scale photographic work by German artist Thomas Demand, known for its meticulously constructed paper model of a forest scene that blurs the line between reality and fabrication.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.