Triple
T37940838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shisr |
E946481
|
entity |
| Predicate | discoveryHighlight |
P136919
|
FINISHED |
| Object | identified via satellite imagery in the early 1990s |
—
|
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: identified via satellite imagery in the early 1990s | Statement: [Shisr, discoveryHighlight, identified via satellite imagery in the early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveryHighlight Context triple: [Shisr, discoveryHighlight, identified via satellite imagery in the early 1990s]
-
A.
highlights
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
B.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
C.
discoveryNote
chosen
Indicates that there is a note or annotation providing additional information or context about a particular discovery.
-
D.
highlightsType
Indicates that one entity serves as a representative example or instance of the type or category defined by another entity.
-
E.
discovery
Indicates the event or process by which one entity finds, uncovers, or identifies something previously unknown or unrecognized.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:20 p.m.