Triple
T7179197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mountains |
E167400
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Twmpa
Twmpa is a prominent hill in the Black Mountains of Wales, known for its sweeping views over the Wye Valley and surrounding uplands.
|
E647815
|
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: Twmpa | Statement: [Black Mountains, contains, Twmpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twmpa Context triple: [Black Mountains, contains, Twmpa]
-
A.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
-
B.
Tahla
Tahla is a small town in northern Morocco, situated in the Rif region and known as a gateway to nearby mountain landscapes.
-
C.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
D.
Kilgetty
Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
-
E.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
- 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: Twmpa Triple: [Black Mountains, contains, Twmpa]
Generated description
Twmpa is a prominent hill in the Black Mountains of Wales, known for its sweeping views over the Wye Valley and surrounding uplands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Twmpa Target entity description: Twmpa is a prominent hill in the Black Mountains of Wales, known for its sweeping views over the Wye Valley and surrounding uplands.
-
A.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
-
B.
Tahla
Tahla is a small town in northern Morocco, situated in the Rif region and known as a gateway to nearby mountain landscapes.
-
C.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
D.
Kilgetty
Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
-
E.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7bcfaf8608190908c5b58ecdf9aff |
completed | March 28, 2026, 11:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7bd68f4688190aa8ac988d2435bb7 |
completed | March 28, 2026, 11:37 a.m. |
Created at: March 27, 2026, 2:49 p.m.