Triple
T31516965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian King Tavern |
E804097
|
entity |
| Predicate | periodOfUseAsInn |
P174427
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Indian King Tavern, periodOfUseAsInn, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfUseAsInn Context triple: [Indian King Tavern, periodOfUseAsInn, 18th century]
-
A.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
B.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
C.
periodOfUseAsOffice
Indicates the time span during which something functioned or was used as an office.
-
D.
establishedPeriod
Indicates the time span or date range during which something was founded, created, or formally brought into existence.
-
E.
durationOfUse
Indicates the length of time for which something is used or remains in use.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: April 30, 2026, 9:53 p.m.