Triple
T30539905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuburbo Maius |
E777245
|
entity |
| Predicate | distanceFromElFahs |
P203164
|
FINISHED |
| Object | about 60 km southwest of Tunis |
—
|
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 60 km southwest of Tunis | Statement: [Thuburbo Maius, distanceFromElFahs, about 60 km southwest of Tunis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromElFahs Context triple: [Thuburbo Maius, distanceFromElFahs, about 60 km southwest of Tunis]
-
A.
distanceFromFarafra
Indicates the measured spatial distance between a given entity and the location of Farafra.
-
B.
distanceToFez
Indicates the spatial distance between a given entity and the location identified as Fez.
-
C.
distanceToFareham
Indicates the spatial distance between a given entity or location and the town of Fareham.
-
D.
distanceToFalun
Indicates the spatial distance between a given entity and the location Falun.
-
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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
| PDg | Predicate description generation | batch_6a013029b3a48190884d661f6c622cad |
completed | May 11, 2026, 1:26 a.m. |
Created at: April 29, 2026, 8:19 p.m.