Triple
T21627267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.U.L.E. |
E533734
|
entity |
| Predicate | hasColonistRaces |
P145279
|
FINISHED |
| Object | multiple alien species |
—
|
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: multiple alien species | Statement: [M.U.L.E., hasColonistRaces, multiple alien species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonistRaces Context triple: [M.U.L.E., hasColonistRaces, multiple alien species]
-
A.
hasColonialCity
Indicates that an entity possesses or includes a city that was established or significantly developed during a period of colonial rule.
-
B.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
C.
hasCivilization
Indicates that an entity possesses, hosts, or is associated with an organized society or culture characterized by social, political, and technological development.
-
D.
hasAncientColony
Indicates that an entity established or possessed a colony in ancient times.
-
E.
servedColonies
Indicates that an entity provided service, governance, or administrative functions to one or more colonies.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.