Triple
T7210879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gra |
E149397
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Gra |
E149397
|
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: Gra | Statement: [Gra, hasAbbreviation, Gra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gra Context triple: [Gra, hasAbbreviation, Gra]
-
A.
Gra
chosen
Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
-
B.
Oyun
Oyun is a local government area in Kwara State, Nigeria, known for its administrative role and local communities within the state.
-
C.
Žehra
Žehra is a historic village in eastern Slovakia renowned for its UNESCO-listed Gothic church and its proximity to the medieval Spiš Castle.
-
D.
Jasso
Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
-
E.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96de4f081908f29b30c95e349f5 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfc9aae48190aa432ebc0034d9b8 |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.