Triple
T11722428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nose |
E278669
|
entity |
| Predicate | firstFreeInADayYear |
P100993
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [The Nose, firstFreeInADayYear, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFreeInADayYear Context triple: [The Nose, firstFreeInADayYear, 1994]
-
A.
firstFreeAscentStartDate
Indicates the calendar date on which the first successful, previously unclimbed ascent of something (e.g., a route or peak) began.
-
B.
firstDayHolyDay
Indicates that the first day of a specified period, event, or time span is designated as a holy or sacred day.
-
C.
hasFirstDayNumber
Indicates that an entity is associated with a specific numerical value representing the first day in a sequence, period, or schedule.
-
D.
firstPowerDate
Indicates the date on which an entity first began to generate or use power.
-
E.
openingDay
Indicates the specific day on which something, typically an event, season, or venue, officially begins or first opens to the public.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.