Triple
T16193620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Nafud |
E393003
|
entity |
| Predicate | hasSettlementNearby |
P7611
|
FINISHED |
| Object | Hail |
E255448
|
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: Hail | Statement: [An Nafud, hasSettlementNearby, Hail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hail Context triple: [An Nafud, hasSettlementNearby, Hail]
-
A.
Hail
chosen
Hail is a city and region in northwestern Saudi Arabia known historically as a key oasis and caravan stop in the Najd area.
-
B.
Hail State
"Hail State" is the spirited fight song and rallying cry associated with Mississippi State University's athletic teams and fan base.
-
C.
Rains
Rains is the surname of English actor Claude Rains, renowned for his roles in classic films such as "Casablanca" and "The Invisible Man."
-
D.
Squalls
Squalls was an Athens, Georgia-based new wave/alternative rock band active in the 1980s, known for its role in the college rock scene alongside groups like R.E.M. and Pylon.
-
E.
Regen
Regen is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic river setting and surrounding natural landscapes.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d74d788190a637fdb9b4f184b9 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0bfd08819083afc4bea1b99aad |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.