Triple
T14617334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norah Head |
E343118
|
entity |
| Predicate | distanceToTheEntrance |
P115067
|
FINISHED |
| Object | approximately 10 kilometres northeast |
—
|
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 10 kilometres northeast | Statement: [Norah Head, distanceToTheEntrance, approximately 10 kilometres northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTheEntrance Context triple: [Norah Head, distanceToTheEntrance, approximately 10 kilometres northeast]
-
A.
nearestEntrance
Indicates that one entrance is the closest access point to a given location or entity compared to all other possible entrances.
-
B.
entranceHeight
Indicates the vertical measurement of how tall an entrance is.
-
C.
entranceSize
Indicates the size or dimensions of an entrance relative to a referenced object or structure.
-
D.
entranceWidth
Indicates the measured horizontal span of an entrance opening that defines how wide the entry passage is.
-
E.
hasLandmarkAtEntrance
Indicates that a specific landmark is located at or directly adjacent to the entrance of something.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:25 a.m.