Triple
T16773778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripylon |
E407670
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Tachara
Tachara is an ancient Achaemenid palace at Persepolis, built by Darius the Great and notable for its finely carved reliefs and well-preserved stonework.
|
E1234001
|
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: Tachara | Statement: [Tripylon, connects, Tachara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tachara Context triple: [Tripylon, connects, Tachara]
-
A.
Tarare
Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Tucheim
Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
-
D.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
E.
Tamahú
Tamahú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its highland landscapes and predominantly indigenous Maya population.
- 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: Tachara Triple: [Tripylon, connects, Tachara]
Generated description
Tachara is an ancient Achaemenid palace at Persepolis, built by Darius the Great and notable for its finely carved reliefs and well-preserved stonework.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tachara Target entity description: Tachara is an ancient Achaemenid palace at Persepolis, built by Darius the Great and notable for its finely carved reliefs and well-preserved stonework.
-
A.
Tarare
Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Tucheim
Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
-
D.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
E.
Tamahú
Tamahú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its highland landscapes and predominantly indigenous Maya population.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafc28c0819084ecd6e5be6adec9 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00abfe035881909330d356bb497229 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:21 a.m.