Triple
T13839866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Quaker Day |
E332627
|
entity |
| Predicate | hasHashtag |
P2920
|
FINISHED |
| Object | #WQD |
E332627
|
NE 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: #WQD | Statement: [World Quaker Day, hasHashtag, #WQD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: #WQD Context triple: [World Quaker Day, hasHashtag, #WQD]
-
A.
WQD
chosen
WQD is the commonly used abbreviation for World Quaker Day, an annual event celebrating the global Quaker community.
-
B.
#WAD
#WAD is a commonly used social media hashtag for discussions, awareness campaigns, and events related to World AIDS Day and the global response to HIV/AIDS.
-
C.
QOW
QOW is the IATA airport code for Sam Mbakwe International Cargo Airport serving Owerri and the surrounding region in Imo State, Nigeria.
-
D.
WBQ
WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
-
E.
QU
QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.