Triple
T22909040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambam |
E568532
|
entity |
| Predicate | borderTradeActivity |
P94594
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ambam, borderTradeActivity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTradeActivity Context triple: [Ambam, borderTradeActivity, yes]
-
A.
borderTradeType
Indicates the specific category or nature of trade that occurs across a border between two regions or countries.
-
B.
crossBorderTradeHub
Indicates a location or entity that serves as a central point for facilitating, coordinating, or processing trade activities that occur across national or regional borders.
-
C.
economicActivityAlongBorder
Indicates economic interactions or commercial activities that occur in proximity to or because of a shared border between regions or countries.
-
D.
borderTradePointWith
Indicates a location or facility where trade or commercial exchange occurs between two bordering regions or countries.
-
E.
hasCrossBorderTrade
chosen
Indicates that there is trade or commercial exchange occurring between entities located in different countries or jurisdictions.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18072986881909eefb317ced5a145 |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.