Triple
T30663838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rougarou |
E780603
|
entity |
| Predicate | openedAsRougarou |
P6141
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Rougarou, openedAsRougarou, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsRougarou Context triple: [Rougarou, openedAsRougarou, 2015]
-
A.
openedAs
chosen
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
B.
openedForDorkingWanderers
Indicates that something (such as a venue, facility, or event) was opened specifically for Dorking Wanderers.
-
C.
openedAlong
Indicates that one entity was opened or inaugurated at the same time or in parallel with another entity.
-
D.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
E.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 8:31 p.m.