Triple
T29060169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bataclan theatre |
E735504
|
entity |
| Predicate | securityStatusAfter2015 |
P7757
|
FINISHED |
| Object | increased security measures |
—
|
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: increased security measures | Statement: [Bataclan theatre, securityStatusAfter2015, increased security measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityStatusAfter2015 Context triple: [Bataclan theatre, securityStatusAfter2015, increased security measures]
-
A.
legalStatusAfter2005
Indicates the legal status or condition that applies to an entity starting from the year 2005 onward.
-
B.
hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
-
C.
securityChangesAfter
chosen
Indicates that the security status or configuration of one entity is modified as a consequence of a prior event or change in another entity.
-
D.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
-
E.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 28, 2026, 10:14 a.m.