Triple
T30647702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حقل الشيبة |
E780168
|
entity |
| Predicate | التقنيات المستخدمة |
P41521
|
FINISHED |
| Object | حفر آبار أفقية |
—
|
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: حفر آبار أفقية | Statement: [حقل الشيبة, التقنيات المستخدمة, حفر آبار أفقية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: التقنيات المستخدمة Context triple: [حقل الشيبة, التقنيات المستخدمة, حفر آبار أفقية]
-
A.
technologyUsedIn
chosen
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
-
B.
laterUsedTechnology
Indicates that one entity adopted or employed a technology after another entity had already used it.
-
C.
technologyUsedBy
Indicates that a particular technology is employed or utilized by a specified entity.
-
D.
technologyUsedFor
Indicates that a particular technology is employed or applied to accomplish, support, or enable a specific purpose, task, or function.
-
E.
theoryUsed
Indicates that one entity applies, relies on, or is based upon a particular theory in its reasoning, explanation, or methodology.
- F. None of above.
Provenance (3 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9537fc819083849c707a8add46 |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:29 p.m.