Triple
T12934818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliath |
E309478
|
entity |
| Predicate | heightDescribedAs |
P90499
|
FINISHED |
| Object | six cubits and a span |
—
|
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: six cubits and a span | Statement: [Goliath, heightDescribedAs, six cubits and a span]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightDescribedAs Context triple: [Goliath, heightDescribedAs, six cubits and a span]
-
A.
heightDescription
chosen
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
B.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
C.
heightInMetres
Indicates the height of an entity expressed as a measurement in metres.
-
D.
heightInInches
Indicates that one entity has a specific height measured in inches.
-
E.
heightFeet
Indicates a relationship where a subject has its vertical size or stature specified in feet as a unit of measurement.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.