Triple
T36626477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLF Runway 15 |
E904180
|
entity |
| Predicate | hasInfrastructureMaterial |
P202801
|
FINISHED |
| Object | reinforced concrete |
—
|
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: reinforced concrete | Statement: [SLF Runway 15, hasInfrastructureMaterial, reinforced concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureMaterial Context triple: [SLF Runway 15, hasInfrastructureMaterial, reinforced concrete]
-
A.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
B.
hasStationBuildingMaterial
Indicates that a station’s building is constructed from, or primarily composed of, a specified material.
-
C.
hasInfrastructureAbove
Indicates that one entity’s infrastructure is physically located above or over another entity.
-
D.
hasBuildingMaterialInHut
Indicates that a hut is constructed using a specified building material.
-
E.
hasBankMaterial
Indicates that something is made of, or incorporates, a specified banking-related material or substance.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_6a00bc06bf3081908973b6c05797299f |
completed | May 10, 2026, 5:10 p.m. |
Created at: May 3, 2026, 4:11 p.m.