Triple
T30914276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ḥudūd ash Shamāliyah |
E787535
|
entity |
| Predicate | borderTypeWithJordan |
P197769
|
FINISHED |
| Object | land border |
—
|
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: land border | Statement: [Al Ḥudūd ash Shamāliyah, borderTypeWithJordan, land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeWithJordan Context triple: [Al Ḥudūd ash Shamāliyah, borderTypeWithJordan, land border]
-
A.
borderSideNameInJordan
Indicates that a specific side of a border is named as it is within the context of Jordan.
-
B.
borderTypeWithXenia
Indicates the type or nature of the border or boundary that an entity has in relation to Xenia.
-
C.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
D.
borderTypeWithIran
Indicates the type or nature of the border relationship that an entity has with Iran.
-
E.
borderTypeWithGibraltar
Indicates the specific type or nature of the border relationship that an entity has with Gibraltar.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
| PDg | Predicate description generation | batch_69feaa477f7c81909382b3aa77e7e11c |
completed | May 9, 2026, 3:30 a.m. |
Created at: April 29, 2026, 8:51 p.m.