Triple
T19606775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitzana Border Crossing |
E470625
|
entity |
| Predicate | hasLimitedUseFor |
P7913
|
FINISHED |
| Object | regular passenger travel |
—
|
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: regular passenger travel | Statement: [Nitzana Border Crossing, hasLimitedUseFor, regular passenger travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedUseFor Context triple: [Nitzana Border Crossing, hasLimitedUseFor, regular passenger travel]
-
A.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
B.
eligibleUses
chosen
Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
-
C.
hasLimitedServiceType
Indicates that an entity is associated with a service that is restricted in scope, availability, or functionality compared to full or standard service types.
-
D.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
E.
usedUntil
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c7ed24819091502fe0d5e139bc |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.