Triple
T14509610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOH |
E340360
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | QA |
E70314
|
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: QA | Statement: [DOH, countryCode, QA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QA Context triple: [DOH, countryCode, QA]
-
A.
QA
QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
-
B.
QA
chosen
QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
-
C.
QAS
QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
-
D.
QC
QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
-
E.
QC
QC is the common abbreviation for Queen's College, one of Hong Kong's oldest and most prestigious secondary schools.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.