Triple
T11725052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allosaurus |
E278741
|
entity |
| Predicate | fossilSite |
P14600
|
FINISHED |
| Object | Como Bluff |
E273055
|
NE 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: Como Bluff | Statement: [Allosaurus, fossilSite, Como Bluff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Como Bluff Context triple: [Allosaurus, fossilSite, Como Bluff]
-
A.
Como Bluff
chosen
Como Bluff is a famous dinosaur fossil site in Wyoming known for its rich Late Jurassic vertebrate remains and its central role in the 19th-century “Bone Wars.”
-
B.
Lafange
Lafange is a 1975 Hindi-language Bollywood film best known for starring Randhir Kapoor in a leading role.
-
C.
Eudora
Eudora is a figure from Greek mythology known as one of the daughters of the Titan Atlas.
-
D.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
E.
Satanta
Satanta was a prominent 19th-century Kiowa war leader and orator known for his resistance to U.S. expansion onto Native American lands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83d9fe70819089b9f3585188f96c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.