Triple
T6440500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Mesa |
E138204
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Walpi |
E261672
|
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: Walpi | Statement: [First Mesa, contains, Walpi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walpi Context triple: [First Mesa, contains, Walpi]
-
A.
Walpi
chosen
Walpi is an ancient Hopi mesa-top village in northeastern Arizona, renowned for its continuous habitation and preservation of traditional Hopi culture and architecture.
-
B.
Akamkpa
Akamkpa is a prominent town in southeastern Nigeria known for its location within Cross River State and its proximity to rich forest reserves and national parks.
-
C.
Awaswas
Awaswas is an extinct Ohlone (Costanoan) Native American language once spoken along the central coast of California.
-
D.
Kykotsmovi
Kykotsmovi is a Hopi village and census-designated place located on the Hopi Reservation in northeastern Arizona.
-
E.
Maribaya
Maribaya is a popular natural tourist area in West Java, Indonesia, known for its waterfalls, hot springs, and lush highland scenery near Bandung.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65390257c819097706c35b3aebc8e |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:46 p.m.