Triple
T17062004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabqa military airbase |
E413981
|
entity |
| Predicate | approximateDistanceToRaqqa |
P125703
|
FINISHED |
| Object | about 40 kilometers west of Raqqa |
—
|
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 40 kilometers west of Raqqa | Statement: [Tabqa military airbase, approximateDistanceToRaqqa, about 40 kilometers west of Raqqa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceToRaqqa Context triple: [Tabqa military airbase, approximateDistanceToRaqqa, about 40 kilometers west of Raqqa]
-
A.
distanceToAleppo
Indicates the spatial distance between a given entity and the location of Aleppo.
-
B.
distanceFromSyriaBorder
Indicates the measured spatial separation between a location and the nearest point on Syria’s national border.
-
C.
distanceToTikrit
Indicates the spatial distance between a given location or entity and the city of Tikrit.
-
D.
distanceFromBaghdad
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
E.
distanceToMisrata_km
Indicates the physical distance, measured in kilometers, between a given location and Misrata.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.