Triple
T2900066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erg Chigaga |
E62633
|
entity |
| Predicate | distanceFromZagora |
P42596
|
FINISHED |
| Object | approximately 100–150 km |
—
|
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 100–150 km | Statement: [Erg Chigaga, distanceFromZagora, approximately 100–150 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromZagora Context triple: [Erg Chigaga, distanceFromZagora, approximately 100–150 km]
-
A.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
B.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
-
C.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
D.
distanceFromGori
Indicates the spatial distance between a given entity or location and the place named Gori.
-
E.
distanceFromSantaCruzDeTenerifeKm
Indicates the distance, measured in kilometers, between an entity and Santa Cruz de Tenerife.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:10 p.m.