Triple
T10733676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ħaġar Qim |
E253136
|
entity |
| Predicate | distanceToMnajdra |
P95693
|
FINISHED |
| Object | about 500 m |
—
|
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: about 500 m | Statement: [Ħaġar Qim, distanceToMnajdra, about 500 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMnajdra Context triple: [Ħaġar Qim, distanceToMnajdra, about 500 m]
-
A.
distanceToŚnieżka
Indicates the measured or calculated spatial distance from a given entity or location to Śnieżka.
-
B.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
-
C.
distanceToNajranCityApproxKm
Indicates the approximate distance, measured in kilometers, between an entity’s location and Najran City.
-
D.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
E.
distanceToFidra
Indicates the spatial distance between a given entity and the reference location Fidra.
- 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.