Triple
T36548079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trolls (Middle-earth) |
E901186
|
entity |
| Predicate | effectOfSunlight |
P107672
|
FINISHED |
| Object | turned to 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: turned to stone | Statement: [Trolls (Middle-earth), effectOfSunlight, turned to stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfSunlight Context triple: [Trolls (Middle-earth), effectOfSunlight, turned to stone]
-
A.
daylightEffect
chosen
Indicates the influence or change that daylight has on a given entity, condition, or process.
-
B.
sunshine
Indicates the presence or effect of direct sunlight shining on or illuminating something.
-
C.
sunRequirement
Indicates the amount or type of sunlight an entity (such as a plant or object) needs or is designed to receive.
-
D.
hasSolarRadiation
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
E.
effectOnHumidity
Indicates how one factor or process changes or influences the level of humidity.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:11 p.m.