Triple
T8138047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFWA |
E190020
|
entity |
| Predicate | languageOfOrganizing |
P51016
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [NFWA, languageOfOrganizing, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOrganizing Context triple: [NFWA, languageOfOrganizing, English]
-
A.
languageOfOrganizer
Indicates the language used by the organizer in conducting or presenting the associated event or activity.
-
B.
languageOfEvent
Indicates the language in which an event is conducted, presented, or communicated.
-
C.
languageOfLocalOrganization
chosen
Indicates the language used or officially adopted by a local organization in its operations or communications.
-
D.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
E.
languageOfCeremony
Indicates the language in which a ceremony is conducted or officially performed.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4402b35c81909363ffa9ce952ca4 |
completed | March 31, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.