Triple
T513612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union of Utrecht |
E10657
|
entity |
| Predicate | hasShortDescription |
P11875
|
FINISHED |
| Object | 1579 treaty uniting northern Dutch provinces in a defensive alliance |
—
|
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: 1579 treaty uniting northern Dutch provinces in a defensive alliance | Statement: [Union of Utrecht, hasShortDescription, 1579 treaty uniting northern Dutch provinces in a defensive alliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortDescription Context triple: [Union of Utrecht, hasShortDescription, 1579 treaty uniting northern Dutch provinces in a defensive alliance]
-
A.
hasDescription
chosen
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
B.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
C.
hasOfficialShortVersion
Indicates that an entity has an officially recognized abbreviated or shortened form.
-
D.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
E.
isShortLived
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.