Triple
T13599281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone Rocks |
E324900
|
entity |
| Predicate | thirdLighthouseMaterial |
P75863
|
FINISHED |
| Object | stone |
—
|
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: stone | Statement: [Eddystone Rocks, thirdLighthouseMaterial, stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdLighthouseMaterial Context triple: [Eddystone Rocks, thirdLighthouseMaterial, stone]
-
A.
lighthouseConstructionMaterial
chosen
Indicates the material from which a lighthouse is built or primarily constructed.
-
B.
hasLanternMaterial
Indicates that an entity’s lantern is made from or composed of a specified material.
-
C.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
D.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.