Triple
T15606835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra da Lousã |
E375179
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Talasnal
Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
|
E1166850
|
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: Talasnal | Statement: [Serra da Lousã, contains, Talasnal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talasnal Context triple: [Serra da Lousã, contains, Talasnal]
-
A.
Talas
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
-
B.
Talne
Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
-
C.
Talador
Talador is a war-torn, draenei-themed forest region on the world of Draenor in World of Warcraft, centered around the besieged city of Shattrath.
-
D.
Torla
Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
-
E.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
- 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: Talasnal Triple: [Serra da Lousã, contains, Talasnal]
Generated description
Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talasnal Target entity description: Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
-
A.
Talas
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
-
B.
Talne
Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
-
C.
Talador
Talador is a war-torn, draenei-themed forest region on the world of Draenor in World of Warcraft, centered around the besieged city of Shattrath.
-
D.
Torla
Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
-
E.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d51c28819097b8c2c0e2307401 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.