Triple
T22303632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanah Lot Temple |
E551318
|
entity |
| Predicate | village |
P4011
|
FINISHED |
| Object |
Beraban
Beraban is a coastal village in Tabanan Regency, Bali, Indonesia, best known as the location of the iconic sea temple Tanah Lot.
|
E1529598
|
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: Beraban | Statement: [Tanah Lot Temple, village, Beraban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beraban Context triple: [Tanah Lot Temple, village, Beraban]
-
A.
Biraban
Biraban was a prominent Awabakal leader and interpreter in early 19th-century Australia who played a key role in recording and preserving the Awabakal language and culture.
-
B.
Barasa
Barasa is a tribal group indigenous to eastern Libya, traditionally associated with the region’s Bedouin Arab communities and local social structure.
-
C.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
-
D.
Beitunia
Beitunia is a Palestinian town located near Ramallah in the central West Bank.
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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: Beraban Triple: [Tanah Lot Temple, village, Beraban]
Generated description
Beraban is a coastal village in Tabanan Regency, Bali, Indonesia, best known as the location of the iconic sea temple Tanah Lot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beraban Target entity description: Beraban is a coastal village in Tabanan Regency, Bali, Indonesia, best known as the location of the iconic sea temple Tanah Lot.
-
A.
Biraban
Biraban was a prominent Awabakal leader and interpreter in early 19th-century Australia who played a key role in recording and preserving the Awabakal language and culture.
-
B.
Barasa
Barasa is a tribal group indigenous to eastern Libya, traditionally associated with the region’s Bedouin Arab communities and local social structure.
-
C.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
-
D.
Beitunia
Beitunia is a Palestinian town located near Ramallah in the central West Bank.
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15725de488190a32006cd99dd4a67 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc9cd4508190825732ffc8b9fa84 |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acd8b04d88190a545cec751e4a635 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace5e9b948190bd4fb7092e6fb62e |
completed | May 18, 2026, 8:31 a.m. |
Created at: April 16, 2026, 8:41 p.m.