Triple
T15696863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibo by the Saddle |
E380483
|
entity |
| Predicate | hasNeighboringCone |
P120338
|
FINISHED |
| Object | Shira |
E78469
|
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: Shira | Statement: [Kibo by the Saddle, hasNeighboringCone, Shira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shira Context triple: [Kibo by the Saddle, hasNeighboringCone, Shira]
-
A.
Shira
chosen
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
B.
Shara
Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
-
C.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Neuli
Neuli is a small village located in the scenic Sainj Valley of Himachal Pradesh, India, known for its tranquil rural setting amid the Himalayas.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142df48e8819083a48d3b7b3f7f5d |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.