Triple
T11504766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TX-16 |
E272752
|
entity |
| Predicate | hasBorderSecurityIssues |
P95103
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [TX-16, hasBorderSecurityIssues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderSecurityIssues Context triple: [TX-16, hasBorderSecurityIssues, true]
-
A.
hasBorderSecurityImportance
Indicates that something holds significance or priority in the context of protecting and controlling a border.
-
B.
hasBorderControlIssues
chosen
Indicates that there are problems, weaknesses, or irregularities in the enforcement or management of border controls between entities.
-
C.
hasBorderControlRole
Indicates that an entity holds a role or responsibility related to managing, enforcing, or overseeing border control activities.
-
D.
hasBorderGuardingMandateWith
Indicates that one entity has an official responsibility or mandate to guard, monitor, or secure a border in cooperation or association with another entity.
-
E.
hasBorderMeetingCountry
Indicates that one country shares a land or maritime border with another country.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.