Triple
T14901508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masfout |
E360014
|
entity |
| Predicate | distanceFromAjmanCity |
P116593
|
FINISHED |
| Object | approximately 120 km southeast |
—
|
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 120 km southeast | Statement: [Masfout, distanceFromAjmanCity, approximately 120 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAjmanCity Context triple: [Masfout, distanceFromAjmanCity, approximately 120 km southeast]
-
A.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
-
B.
distanceFromDohaCenter
Indicates the spatial distance between a given location and the central point of Doha.
-
C.
distanceFromRiyadh
Indicates the measured spatial distance between a given entity’s location and the city of Riyadh.
-
D.
distanceFromDoha
Indicates the spatial distance between a given location or entity and the city of Doha.
-
E.
distanceToMuscat
Indicates the measured or calculated distance between a given entity’s location and the city of Muscat.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:11 a.m.