Triple
T5356321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thugga |
E102699
|
entity |
| Predicate | distanceFromTunis |
P51059
|
FINISHED |
| Object | approximately 100 km southwest |
—
|
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 100 km southwest | Statement: [Thugga, distanceFromTunis, approximately 100 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTunis Context triple: [Thugga, distanceFromTunis, approximately 100 km southwest]
-
A.
distanceToTunis
chosen
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
B.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
C.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
D.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
-
E.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
- F. None of above.
Provenance (3 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862f0ea48190bec78690ab3bee51 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.