Triple
T10733729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mnajdra |
E253137
|
entity |
| Predicate | nearbyDistanceToĦaġarQim |
P95694
|
FINISHED |
| Object | approximately 500 metres |
—
|
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 500 metres | Statement: [Mnajdra, nearbyDistanceToĦaġarQim, approximately 500 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyDistanceToĦaġarQim Context triple: [Mnajdra, nearbyDistanceToĦaġarQim, approximately 500 metres]
-
A.
distanceFromMhamid
Indicates the spatial distance between an entity and the reference location Mhamid.
-
B.
distanceFromHadriansWall
Indicates the measured spatial distance between a given entity and Hadrian’s Wall.
-
C.
distanceToHampi
Indicates the measured or specified distance between a given entity or location and Hampi.
-
D.
distanceToPetra
Indicates the spatial distance between a given entity or location and Petra.
-
E.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:14 p.m.