Triple
T26632532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo tram network |
E668538
|
entity |
| Predicate | gradualProcess |
P161074
|
FINISHED |
| Object | dismantling |
—
|
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: dismantling | Statement: [Cairo tram network, gradualProcess, dismantling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradualProcess Context triple: [Cairo tram network, gradualProcess, dismantling]
-
A.
graduallyEmbraces
Indicates a relationship in which one entity slowly and progressively accepts, adopts, or takes in another entity or its influence over time.
-
B.
typicalProcess
Indicates that the related process is characteristic, usual, or commonly occurring for the given entity or context.
-
C.
progressedBy
Indicates that an activity, process, or state advances or moves forward as a result of the actions or influence of a specified agent or factor.
-
D.
adoptedGraduallyBy
Indicates that one entity is taken up, accepted, or implemented by another entity in a slow, incremental, or phased manner over time.
-
E.
broaderProcess
Indicates that one process encompasses, includes, or provides the larger context for another, more specific process.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615ef22948190a908a048dc739479 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:25 a.m.