Triple
T1736187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XPG |
E37923
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ORY |
E10907
|
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: ORY | Statement: [XPG, relatedTo, ORY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORY Context triple: [XPG, relatedTo, ORY]
-
A.
ORY
chosen
ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
B.
OR
OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
-
C.
URY
URY is the three-letter ISO 3166-1 alpha-3 country code assigned to Uruguay.
-
D.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
-
E.
WR
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a369048190bae352573f5082f1 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b008b7881909ac568af010bcf99 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.