Triple
T25609148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Shot Tower |
E641995
|
entity |
| Predicate | significantMaterial |
P163021
|
FINISHED |
| Object | load-bearing brick walls |
—
|
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: load-bearing brick walls | Statement: [Phoenix Shot Tower, significantMaterial, load-bearing brick walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantMaterial Context triple: [Phoenix Shot Tower, significantMaterial, load-bearing brick walls]
-
A.
materialSignificance
Indicates that one entity has substantial importance, influence, or impact on another in a concrete or consequential way.
-
B.
hasMaterialSignificance
Indicates that something holds notable importance, relevance, or consequence in a given context or situation.
-
C.
materiality
Indicates that something has the quality of being material or physically substantial, as opposed to abstract or immaterial.
-
D.
significantResource
Indicates that one entity serves as an important or substantial resource (e.g., material, financial, informational, or human) for another entity.
-
E.
significantPort
Indicates that a port holds major importance in terms of trade, transportation, or strategic relevance within a given context.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 4:40 p.m.