Triple
T22695873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Space Station |
E561169
|
entity |
| Predicate | assemblyStartYear |
P149346
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [International Space Station, assemblyStartYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assemblyStartYear Context triple: [International Space Station, assemblyStartYear, 1998]
-
A.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
B.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
-
C.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
D.
typicalStartYear
Indicates the year in which something (such as an event, activity, or process) usually or customarily begins.
-
E.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789e05d88190b9d51bb3f8e3e9d4 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:14 p.m.