Triple
T5034618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibb |
E113391
|
entity |
| Predicate | distanceFromSanaa |
P60635
|
FINISHED |
| Object | approximately 194 kilometers south |
—
|
LITERAL 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: approximately 194 kilometers south | Statement: [Ibb, distanceFromSanaa, approximately 194 kilometers south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSanaa Context triple: [Ibb, distanceFromSanaa, approximately 194 kilometers south]
-
A.
distanceFromMogadishu_km
Indicates the distance, measured in kilometers, between a given location and Mogadishu.
-
B.
distanceFromMogadishu
Indicates the spatial distance between a given location and Mogadishu.
-
C.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
-
D.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
E.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
- F. None of above. chosen
Provenance (4 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.