Triple
T2875251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigar Valley |
E56862
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Thalle
Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
|
E305808
|
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: Thalle | Statement: [Shigar Valley, containsSettlement, Thalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalle Context triple: [Shigar Valley, containsSettlement, Thalle]
-
A.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
B.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
C.
Talence
Talence is a suburban commune in southwestern France, located near Bordeaux and known for hosting part of the University of Bordeaux campus.
-
D.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
E.
Thomazeau
Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
- 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: Thalle Triple: [Shigar Valley, containsSettlement, Thalle]
Generated description
Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalle Target entity description: Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
-
A.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
B.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
C.
Talence
Talence is a suburban commune in southwestern France, located near Bordeaux and known for hosting part of the University of Bordeaux campus.
-
D.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
E.
Thomazeau
Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db780908190919d859205464b2e |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b0201470cc81909188573c3749dffb |
completed | March 10, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020aa00888190a683a621f1e1a107 |
completed | March 10, 2026, 1:46 p.m. |
Created at: March 6, 2026, 10:03 p.m.