Triple
T23743938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran–Iraq–Syria land corridor |
E586760
|
entity |
| Predicate | keyTransitArea |
P153529
|
FINISHED |
| Object | Iraqi–Syrian border region |
—
|
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: Iraqi–Syrian border region | Statement: [Iran–Iraq–Syria land corridor, keyTransitArea, Iraqi–Syrian border region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyTransitArea Context triple: [Iran–Iraq–Syria land corridor, keyTransitArea, Iraqi–Syrian border region]
-
A.
keySector
Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
-
B.
keyGrowingArea
Indicates that a location or region serves as a primary or significant area where something (such as a crop, product, or resource) is grown or produced.
-
C.
keyIssueArea
Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
-
D.
keyCenter
Indicates the central or primary tonal focus around which other related elements are organized or interpreted.
-
E.
keyPosition
Indicates the specific location or placement of a key within a defined space or system.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbbcf988190b56d74af4b126bd8 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:12 p.m.