Triple
T34516367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoor Ballylee |
E886161
|
entity |
| Predicate | firstOccupiedInYear |
P136523
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Thoor Ballylee, firstOccupiedInYear, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOccupiedInYear Context triple: [Thoor Ballylee, firstOccupiedInYear, 1919]
-
A.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
B.
firstHoistedYear
Indicates the year in which something (typically a flag, banner, or similar item) was first formally raised or displayed.
-
C.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
D.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
E.
firstArrivalYear
chosen
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:01 a.m.