Triple
T30644610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edison incandescent lamps |
E780085
|
entity |
| Predicate | glassBulbShape |
P169654
|
FINISHED |
| Object | pear-shaped bulb |
—
|
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: pear-shaped bulb | Statement: [Edison incandescent lamps, glassBulbShape, pear-shaped bulb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassBulbShape Context triple: [Edison incandescent lamps, glassBulbShape, pear-shaped bulb]
-
A.
glassType
Indicates the specific kind or category of glass associated with or used by an entity.
-
B.
dialShape
Indicates the geometric form or outline that characterizes a dial.
-
C.
domeShape
Indicates that one entity has a dome-like or hemispherical shape in relation to another or in its overall form.
-
D.
typeOfLampsUsed
Indicates the specific kinds or categories of lamps that are utilized in a given context or system.
-
E.
typicalLanternDiameter
Indicates the usual or standard diameter measurement associated with a lantern.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a58cd808190bc1cdaa106291084 |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:29 p.m.