Triple
T845232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Alamein |
E18261
|
entity |
| Predicate | distanceFromAlexandria_km |
P20572
|
FINISHED |
| Object | about 106 |
—
|
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 106 | Statement: [El Alamein, distanceFromAlexandria_km, about 106]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAlexandria_km Context triple: [El Alamein, distanceFromAlexandria_km, about 106]
-
A.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
B.
distanceFromEquator
Indicates how far a location is from the Earth's equator, typically measured as a geographic or angular distance.
-
C.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
-
D.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
E.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac09249c8190a8099b94a3c9e2cc |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4893e481908632102d240466dc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.