Triple
T11462974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eilat Mountains |
E271706
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mount Helez
Mount Helez is the highest peak in Israel’s Eilat Mountains, a rugged desert range in the southern Negev near the Red Sea.
|
E935225
|
NE FINISHED |
How this triple was built (4 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: Mount Helez | Statement: [Eilat Mountains, highestPoint, Mount Helez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Helez Context triple: [Eilat Mountains, highestPoint, Mount Helez]
-
A.
Mount Zeil
Mount Zeil is a prominent mountain in Australia’s Northern Territory, noted for being the tallest peak in the West MacDonnell Ranges and the highest point west of the Great Dividing Range.
-
B.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
Mount Noro
Mount Noro is a scenic mountain in Kure, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing opportunities.
-
D.
Mount Shinn
Mount Shinn is a prominent mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
-
E.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Helez Triple: [Eilat Mountains, highestPoint, Mount Helez]
Generated description
Mount Helez is the highest peak in Israel’s Eilat Mountains, a rugged desert range in the southern Negev near the Red Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Helez Target entity description: Mount Helez is the highest peak in Israel’s Eilat Mountains, a rugged desert range in the southern Negev near the Red Sea.
-
A.
Mount Zeil
Mount Zeil is a prominent mountain in Australia’s Northern Territory, noted for being the tallest peak in the West MacDonnell Ranges and the highest point west of the Great Dividing Range.
-
B.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
Mount Noro
Mount Noro is a scenic mountain in Kure, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing opportunities.
-
D.
Mount Shinn
Mount Shinn is a prominent mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
-
E.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
- F. None of above. chosen
Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713488c7c81908d97d249af770603 |
completed | April 21, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 8, 2026, 9:35 p.m.