Triple
T29423351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo |
E746214
|
entity |
| Predicate | hasAPIConcept |
P183116
|
FINISHED |
| Object | surface |
—
|
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: surface | Statement: [Cairo, hasAPIConcept, surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAPIConcept Context triple: [Cairo, hasAPIConcept, surface]
-
A.
hasAPIs
Indicates that one entity provides or exposes application programming interfaces (APIs) that can be used or accessed by another entity.
-
B.
hasImplementedConcept
Indicates that an entity has put a particular concept into practice or realized it in an implemented form.
-
C.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
D.
includesAPI
Indicates that one entity provides or contains an application programming interface (API) that can be used by another entity.
-
E.
hasConceptVehicle
Indicates that an entity is associated with or involves a particular vehicle concept (e.g., as its subject, example, or focus).
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 28, 2026, 3:07 p.m.