Triple
T36954106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Hoarders |
E914145
|
entity |
| Predicate | hasEmissarySystem |
P186786
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Gold Hoarders, hasEmissarySystem, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmissarySystem Context triple: [Gold Hoarders, hasEmissarySystem, Yes]
-
A.
hasStarSystem
Indicates that an entity possesses, contains, or is associated with a particular star system.
-
B.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
C.
hasPermanentResearchStations
Indicates that one entity maintains long-term, continuously operating research facilities within the domain or territory of another entity.
-
D.
endedInMainColony
Indicates that an event, process, or entity concluded within the primary or central colony rather than elsewhere.
-
E.
hasAmbassador
Indicates that one entity serves as an official diplomatic representative (ambassador) for another entity.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.