Triple
T7815748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagbanwa |
E181002
|
entity |
| Predicate | hasTypicalMedium |
P7961
|
FINISHED |
| Object | bamboo |
—
|
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: bamboo | Statement: [Tagbanwa, hasTypicalMedium, bamboo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalMedium Context triple: [Tagbanwa, hasTypicalMedium, bamboo]
-
A.
stratotypeMedium
Indicates the type of material or medium (e.g., rock, sediment) that serves as the reference standard for a stratigraphic unit or stratotype.
-
B.
hasPageMedium
Indicates that a page or document is associated with a particular physical or digital medium through which it is presented or stored.
-
C.
isFromMedium
Indicates that something originates from, is derived from, or was obtained via a particular medium or channel.
-
D.
hasRideMedium
Indicates that an entity’s ride or journey is conducted using a particular transportation medium or mode.
-
E.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:39 p.m.